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VIEW RETAINED FOR A CONTINUATION WEDGE PATTERN BETWEEN 32 450 AND 25 900. The medium-term view of a L*M wedge pattern remains the preferred outcome. The test and reversal off M has not been impulsive. A definitive breach of R0* is required to confirm the illustrated phase C gains to L*. The wedge pattern remains incomplete with further overlapping moves to complete phases D and E. S1* remains pivotal support for the illustrated view. A definite break through this level will activate downside to S2 and S3. A breach of L* will negate the LM defined outlook. Target and Re-assessment Levels: Pivotal Levels: R0* and S1* Primary Trend and Target Levels: L*M overlapping gains, followed by a bear trend to S3 Prevailing Trend and Target Levels: R0*/M ranging Technical Rating: Medium https://www.unum.capital/research-disclaimer

VIEW ADJUSTED FOR AN IRREGULAR CONSOLIDATION PHASE BETWEEN 18.68 and 19.56. The general bullish outlook was postponed after the break below the defining R0* level. The best current alternative would be that a PQ* irregular continuation pattern is unfolding. Completion of the C phase to S1 and Q* can be followed by the next impulsive bull trend to R2/T1. Breaking Q* will activate an extended downside to S2. This could still be part of the overall consolidation phase and eventual bull trend to T1 S2* is pivotal for the overall bullish outlook. The erratic and rare nature of the PQ* consolidation necessitates a medium/low conviction level. Target and Re-assessment Levels: Important Levels: Q* and S2* Primary Trend: P/Q* consolidation, followed by a bull trend to T1 Monthly Range: R0/Q* Current Trend and Target Levels: Gains off Q* to R0 Technical Rating: Medium to low https://www.unum.capital/research-disclaimer

Introduction When it comes to investing in shares, it's crucial to be armed with the right tools and knowledge to make informed decisions. One of the most important metrics that investors use to assess the risk and return potential of equities is beta. Beta is a numerical value that measures the sensitivity of a share's price movements relative to changes in the broader market. We will delve into the concept of beta and explore its significance for share investors. What is Beta? Beta, often denoted as "β," is a statistical measure used in finance to quantify the volatility or systematic risk of a share compared to the overall market. The market, in this context, is typically represented by an index, such as the Top 40 index. The beta value indicates how much a share's price is expected to move concerning the market's movements. It helps investors understand how closely the share's performance is tied to the market's fluctuations. Interpreting Beta Values β = 1: If a share has a beta of 1, it moves in perfect correlation with the market. Its price tends to rise or fall by the same percentage as the market index. Such shares are considered market-neutral in terms of volatility. β < 1: A share with a beta below 1 is less volatile than the market. In other words, it is expected to have smaller price swings than the overall market. These shares are often referred to as defensive equities and are perceived to offer a more stable investment option. β > 1: A share with a beta above 1 is more volatile than the market. It tends to experience larger price movements, both upward and downward, compared to the market index. These shares are considered aggressive or growth-oriented investments. Risk and Return Relationship Beta plays a crucial role in determining the risk and return profile of a share. Typically, higher beta shares offer the potential for greater returns but also come with higher risk. Conversely, lower beta shares may have more modest returns but tend to be less risky and more stable during market downturns. For example, if Share A has a beta of 1.5, and the market (represented by an index) increases by 10%, Share A might be expected to rise by 15% (1.5 times the market return). Conversely, if the market falls by 10%, Share A could be anticipated to decline by 15%. How to Use Beta in Investment Decisions Diversification: Beta can help investors build a diversified portfolio. By combining shares with different beta values, investors can offset the risk of high-beta shares with the stability of low-beta shares. Risk Management: Beta assists in assessing the level of risk an investor is willing to undertake. Conservative investors might opt for low-beta shares, while those seeking higher returns might favour high-beta shares. Market Timing: Understanding beta can help investors make better decisions about when to buy or sell a share. During a bullish market, high-beta shares may outperform, while during a bearish market, low-beta shares may hold up better. Limitations of Beta While beta is a valuable metric, it does have some limitations: Historical Data: Beta is based on historical price movements, and the past may not necessarily predict future performance accurately. Market Conditions: Beta assumes that market conditions will remain constant, which is often not the case. Single-factor Metric: Beta considers only market-related risk and does not account for other factors like company-specific events or changes in industry dynamics. Conclusion Beta is a useful tool for investors to gauge the volatility and risk associated with a particular share relative to the overall market. It aids in constructing a well-balanced portfolio and managing risk according to individual investment goals and risk tolerance. However, beta should not be the sole factor in investment decisions, as it's essential to consider other aspects of a company's fundamentals and the broader economic environment to make well-informed investment choices. As with any investment analysis, it's prudent to conduct thorough research. Top 40 share beta and selected markets: The heatmap displayed below presents the constituents of the Top 40 index alongside selected major markets. This dynamic heatmap is updated daily, providing valuable insights. For added convenience, you can download the corresponding data as an Excel file. Stay informed of the latest trends and changes in the market through this user-friendly visualisation. Download the Excel file here: https://www.unum.capital/research-disclaimer

Introduction In the world of share trading, understanding correlation is vital for making informed investment decisions and managing risk effectively. Correlation plays a crucial role in assessing how different shares or assets move in relation to each other, providing insights into portfolio diversification, risk management, and potential investment opportunities. We will explore the concept of correlation in share trading, its importance, and how traders and investors can leverage this knowledge to improve their strategies. What is Correlation in Share Trading? In share trading, correlation refers to the statistical relationship between the price movements of two or more shares or assets. When two shares have a positive correlation, they tend to move in the same direction – when one share's price increases, the other share's price also increases. On the other hand, a negative correlation indicates that two shares tend to move in opposite directions – when one share's price increases, the other share's price decreases. Finally, if two shares have a correlation close to zero, it suggests that their price movements are not significantly related. Measuring Correlation in Share Trading The most common method of measuring correlation between two shares is by using the Pearson correlation coefficient, just like in general statistics. The correlation coefficient ranges from -1 to 1, with the same interpretation as before: r = 1 indicates a perfect positive correlation, where the two shares move in complete harmony. r = -1 indicates a perfect negative correlation, where the two shares move in opposite directions. r ≈ 0 indicates little to no correlation, suggesting that the two shares have independent price movements. Importance of Correlation in Share Trading Understanding the correlation between different shares is crucial for several reasons: Diversification: Correlation helps traders identify assets that have low or negative correlations with each other. Diversifying a portfolio with assets that are not highly correlated can help reduce overall risk. When some assets decrease in value, others might increase, which can mitigate losses. Risk Management: High correlations among shares can increase the overall risk in a portfolio. If all shares in a portfolio are positively correlated, they are more likely to experience simultaneous declines during market downturns. By knowing the correlation between holdings, traders can optimise their portfolios to manage risk more effectively. Identifying Investment Opportunities: Traders can use correlation analysis to identify potential investment opportunities. For example, if they notice a positive correlation between two shares, they might consider one as a proxy for the other. If the correlation is negative, they may see a hedging opportunity to protect against price declines. Sector Analysis: Correlation analysis can help traders understand the broader movements within specific sectors or industries. For example, in a technology-heavy sector, many shares might be positively correlated, and understanding this can influence investment decisions within that sector. Limitations of Correlation in Share Trading While correlation is a valuable tool, it has its limitations: Changing Market Conditions: Correlations between shares can change over time due to shifts in market dynamics, economic conditions, or company-specific events. Traders need to monitor correlations regularly and be prepared for them to evolve. Limited to Linear Relationships: Correlation measures linear relationships between variables. Some shares may have non-linear relationships, making it important to consider other forms of analysis alongside correlation. Causation Concerns: As always, it's essential to remember that correlation does not imply causation. Just because two shares are correlated does not necessarily mean that one share causes the price movement of the other. Conclusion In share trading, understanding correlation is a powerful tool for making informed decisions, managing risk, and optimising investment portfolios. By analysing the relationship between different shares, traders can diversify their portfolios effectively, identify hedging opportunities, and navigate changing market conditions more intelligently. However, correlation should always be used in combination with other forms of analysis, and traders must be cautious about drawing causal conclusions solely based on correlation. With a solid understanding of correlation, traders can navigate the dynamic world of share trading with greater confidence and success. Top 40 share correlation and selected markets The heatmap displayed below presents the constituents of the Top 40 index alongside selected major markets. This dynamic heatmap is updated daily, providing valuable insights. For added convenience, you can download the corresponding data as an Excel file. Stay informed of the latest trends and changes in the market through this user-friendly visualisation. Download the Excel file here: https://www.unum.capital/research-disclaimer

Introduction: Relative Price Strength (RPS) is a critical technical indicator used by traders and investors to assess the performance of an equity relative to the broader market or its industry peers. By understanding RPS and incorporating it into their investment strategies, individuals can gain valuable insights into an equity's potential for future price movement. We will delve into the concept of RPS, how it is calculated, and its significance in share trading. What is Relative Price Strength (RPS)? Relative Price Strength, also known as Relative Strength, is a momentum-based metric that evaluates an equity's performance relative to a benchmark index or a group of peers. It is used to identify equities that have outperformed or underperformed in their market or sector over a specified period. RPS Calculation: To calculate RPS, we compare the price performance of a particular share to the performance of a designated benchmark index or a group of shares. The RPS calculation typically involves comparing the price change over a specific time frame, depending on the preference of the trader or investor. The formula for calculating RPS is as follows: RPS = (Share's Price at date x / Share's Price at date y) / (Benchmark's Price at date x / Benchmark's Price at date y) date x = most recent price of the share or benchmark date y = price of the share or benchmark x periods ago Understanding RPS Values: The RPS value is represented as a ratio, and it indicates the stock's relative strength compared to the benchmark or peer group. A value above 1 suggests that the share has outperformed the benchmark or peers, while a value below 1 indicates underperformance. Significance of RPS in Share Trading: Identifying Strong Performers: RPS helps traders and investors identify shares that have demonstrated significant price strength compared to the overall market or their sector. These shares are often considered strong performers and may continue to exhibit positive price movement. Trend Confirmation: RPS can help confirm the prevailing trends in the market or sector. Shares with high RPS values are more likely to be in uptrends, while those with low RPS values might be in downtrends. Share Selection: Traders can use RPS to filter and prioritise their share selection process. A higher RPS value could make a share more appealing for trading or investment opportunities. Divergence Detection: RPS can also help identify potential divergences between a share and the broader market or sector. Divergences occur when an equity's price moves in the opposite direction to its RPS, which might signal a potential trend reversal or correction. Limitations of RPS: While RPS can be a valuable tool for assessing relative performance, it has some limitations that traders and investors should be aware of: Short-Term Focus: RPS is primarily a short to medium-term indicator. It might not accurately reflect a share's long-term potential or fundamental strength. Benchmark Selection: The choice of benchmark or peer group can significantly impact the RPS calculation. Different benchmarks can lead to different RPS values for the same share. Conclusion: Relative Price Strength (RPS) is a valuable technical indicator that provides insights into an equity's relative performance compared to a benchmark index or its peers. By understanding RPS, traders and investors can make more informed decisions, identify strong performers, and validate existing trends in the market or sector. However, like any single metric, RPS should be used in conjunction with other indicators and fundamental analysis to make well-rounded investment decisions. JSE All Share headline indices RPS: In the financial markets, certain headline indices have showcased remarkable outperformance, suggesting a notable influx of capital. This surge in capital inflow signals growing trader and investor confidence and interest in these headline indices. Whereas traders and investors seem to be reallocating their investments away from headline indices where there is an outflow of capital. Capital Inflow headline indices (in ranking order): ResourcesCapital outflow headline indices (in ranking order): Industrials Financials JSE All Share share RPS: Understanding the performance of individual shares in comparison to the broader market is crucial for traders and investors seeking to capitalise on market trends. The table below highlights the top 20 and bottom 20 shares based on RPS, with a lookback period of the last 10 days, indicated by their ranking changes since the previous update. The table is updated daily. The Top 20 RPS Leaders: These are the shares that have exhibited the strongest relative price performance within the JSE All Share index over the past 10 days. The Bottom 20 RPS Laggards: These shares have shown the weakest relative price performance within the JSE All Share index over the same 10-day period. JSE All Share sector RPS: In this analysis, we will examine the top 10 and bottom 10 sectors based on RPS, considering the lookback period of the last 10 days. The table is also updated daily. The Top 10 RPS Leading Sectors These sectors have demonstrated the strongest relative price performance within the JSE All Share index during the 10-day lookback period. The Bottom 10 RPS Lagging Sectors Conversely, these sectors have exhibited the weakest relative price performance within the JSE All Share index over the same 10-day period. https://www.unum.capital/research-disclaimer

Introduction In the world of equity market analysis, traders and investors often seek to identify promising investment opportunities by evaluating the performance of various shares. One valuable tool that aids in this analysis is the Relative Rotational Graph (RRG). RRG is a graphical representation that helps investors understand the relative strength and momentum of different shares within a given market or sector. What is a Relative Rotational Graph (RRG)? A Relative Rotational Graph is a visual representation of the relative performance of shares in comparison to a benchmark index or a specific group of shares. The graph plots individual shares as data points and illustrates their movement over time, relative to the benchmark. The positioning of each share on the graph provides crucial insights into its relative strength, momentum, and potential investment opportunities. How RRG Works: The Four Quadrants The RRG chart is divided into four quadrants, each representing different stages of relative performance: Leading (Leading Quadrant): Shares in this quadrant are exhibiting strong relative strength and positive momentum compared to the benchmark. They are outperforming the broader market or sector and are considered leaders in terms of price performance. These shares are regarded as potential Profit takes or Holds candidates. Weakening (Weakening Quadrant): Shares in this quadrant are experiencing a decline in relative strength compared to the benchmark. While they might still be in an uptrend, their momentum is slowing down, and they may be losing some of their leadership positions. These shares are classified as potential Deteriorating candidates or short-selling. Lagging (Lagging Quadrant): Shares in this quadrant are underperforming the benchmark. They are experiencing weak relative strength and may be struggling compared to other shares or the broader market. These shares are classified as potential Avoid candidates. Improving (Improving Quadrant): Shares in this quadrant are showing signs of improvement in relative strength, indicating that they are gaining momentum and starting to outperform the benchmark. These shares are considered as potential Buy candidates. Interpreting RRG for Investment Insights When analysing a Relative Rotational Graph, traders and investors can draw several meaningful conclusions: Identifying Leaders and Laggards: RRG helps investors quickly identify which shares are leading the market's upward trends and which are lagging behind. Leading shares in the Leading Quadrant might be attractive investment candidates, while those in the Lagging Quadrant could warrant closer examination to understand potential weaknesses. Spotting Trend Reversals: A changing position of a share on the RRG can signal a potential trend reversal. For example, a share moving from the Weakening Quadrant to the Improving Quadrant may indicate a shift in momentum and an upcoming upward trend. Diversification Insights: RRG can assist in portfolio diversification by highlighting shares that exhibit a low correlation with the benchmark. Adding shares with diverse movement patterns can help reduce overall portfolio risk. Monitoring Sector Rotations: RRG is especially useful for sector rotation strategies, where investors rotate their investments based on the relative strength of sectors. It helps identify which sectors are currently leading or lagging in the market. Limitations of RRG While RRG is a valuable tool, it is essential to recognize its limitations: Historical Performance: RRG is based on past price data and may not always predict future movements accurately. Not a Standalone Indicator: RRG should be used in conjunction with other technical and fundamental analysis tools for comprehensive decision-making. Volatility Impact: Highly volatile shares may exhibit erratic movements on the RRG, making interpretation challenging. Conclusion Relative Rotational Graphs provide traders and investors with a powerful visual representation of the relative performance of shares compared to a benchmark index or a group of shares. By understanding the quadrants and interpreting the movements of individual shares, investors can gain valuable insights into market trends, identify potential investment opportunities, and optimise their portfolio allocations. As with any investment analysis tool, it should be used alongside other methods and within the context of a well-thought-out investment strategy. Top 40 constituent RRG chart: The updated RRG chart displayed below compares the individual constituents of the Top 40 index against the index itself. This chart undergoes daily updates, and to enhance clarity, various colour backgrounds are utilised for ease of reference. Leading (Leading Quadrant): Green background. These shares are regarded as potential Profit takes or Hold candidates. Weakening (Weakening Quadrant): Yellow background. These shares are classified as potential Deteriorating candidates or short-selling. Lagging (Lagging Quadrant): Red background. These shares are classified as potential Avoid candidates. Improving (Improving Quadrant): Blue background. These shares are considered potential Buy candidates. https://www.unum.capital/research-disclaimer

Introduction In the world of technical analysis, traders and investors often use various tools and indicators to gain insights into market trends and potential price movements. One such tool is the Linear Regression Channel, which utilises statistical concepts like standard deviation to help identify the potential range of price action. Understanding how to interpret and use the Linear Regression Channel in conjunction with standard deviation can provide valuable information for traders to make informed decisions. What is Linear Regression Channel? The Linear Regression Channel is a technical analysis tool that plots a straight line based on the linear regression of the price data over a specific period. This line serves as the central axis of the channel, with two parallel lines drawn above and below it, representing the upper and lower ranges. The channel helps traders visualize the general direction of the trend and possible areas of support and resistance. Calculating the Linear Regression Channel involves fitting a linear regression line to the price data, usually based on the closing prices, over a defined look-back period. The resulting line represents the average or mean of the price data over that period. Understanding Standard Deviation Standard deviation is a measure of the dispersion or variability of the price data around the linear regression line. In the context of a Linear Regression Channel, standard deviation helps determine the width of the channel, which indicates the potential volatility or uncertainty of price movements. When the standard deviation is high, it means the price data is spread out widely from the regression line, indicating higher volatility. Conversely, a low standard deviation suggests that the price data is closely clustered around the regression line, indicating lower volatility. Using Scoring to Assess Proximity to the Linear Regression Channel The term "scoring" in this context refers to a numerical value representing the distance of the current price from the linear regression line. This score is typically normalised to a scale between 0 and 10, with 1 indicating the lowest proximity to the regression line and 10 indicating the highest proximity. The relationship between the scoring and the Linear Regression Channel is as follows: Scoring Close to 0: When the scoring is closer to 0, it suggests that the current price is near the lower range of the Linear Regression Channel. This indicates that the market is potentially oversold, and the price may be due for a correction or bounce towards the mean or central axis of the channel. Scoring Close to 10: Conversely, when the scoring is closer to 10, it suggests that the current price is near the upper range of the Linear Regression Channel. This indicates that the market is potentially overbought, and the price may be due for a correction or a bounce back towards the mean. Interpreting Linear Regression Channel and Standard Deviation Together Combining the Linear Regression Channel and standard deviation provides a more comprehensive picture of the market's behaviour. When the standard deviation is wider, the channel broadens, indicating higher volatility. In contrast, a narrower standard deviation results in a narrower channel, suggesting lower volatility. Traders can use this information to: Identify Potential Reversal Zones: When the price action reaches the upper or lower range of the channel, coupled with high standard deviation, it may indicate an overextended market and a potential reversal in the opposite direction. Recognize Trend Strength: If the price remains within a narrow channel and the standard deviation is relatively low, it suggests a stable and well-defined trend, while a wide channel with a high standard deviation indicates a more erratic or uncertain market. Conclusion The Linear Regression Channel and standard deviation are valuable tools for traders to gain insights into the potential range of price action and market volatility. When combined, they can provide a clearer understanding of trend direction, potential reversal points, and overall market sentiment. By using the scoring system to assess proximity to the channel, traders can make more informed decisions, enhancing their ability to navigate the dynamic world of financial markets. However, as with any technical analysis tool, it is essential to use these indicators in conjunction with other forms of analysis and risk management strategies to make well-rounded and informed trading decisions. Top 40 share scoring and selected markets The bar chart displayed below presents the constituents of the Top 40 index. This dynamic bar chart is updated weekly, providing valuable insights. https://www.unum.capital/research-disclaimer

The Week That Was On Friday, the Dow Jones Industrial Average closed with a 39-point gain, showcasing resilience in the face of challenges. However, the S&P 500 and Nasdaq Composite experienced a slight decline of 0.5% and 1.2%, respectively. This mixed performance stemmed from the contrasting dynamics at play in the market. The day saw an array of factors influencing investor sentiment. While prominent banks posted robust corporate results that buoyed optimism, concerns about inflation lingered, causing megacap equities to falter. Additionally, the surge in oil prices and escalating tensions in the Middle East further compounded the uncertainty and weighed on investors' minds. In terms of sector performance, the technology, consumer discretionary, and industrial sectors emerged as notable underperformers. Prominent technology giants such as Tesla, Nvidia, Apple, Alphabet, Microsoft, and Amazon experienced modest declines ranging from 1% to 3%. Meanwhile, shares of Boeing took a more substantial hit, sliding by 3.3% due to an expanding inspection of a production defect, while Spirit's shares dipped by 1%. Conversely, some financial institutions thrived in this complex landscape. JPMorgan saw a 1.5% increase in its stock price, reflecting investor confidence. Wells Fargo also made strides, advancing by 3%. In contrast, Citigroup faced a slight dip of 0.2%, despite surpassing expectations in both earnings and revenue. UnitedHealth was another bright spot, with a 2.5% gain, following the company's decision to raise its profit guidance and surpass earnings estimates. For the week as a whole, the S&P 500 managed to eke out a 0.6% gain, showcasing resilience amidst market fluctuations. The Dow Jones Industrial Average posted a commendable 0.8% increase, while the Nasdaq Composite added 0.3%, underscoring the dynamic nature of the financial landscape. On Friday, the JSE All Share Index faced a setback, declining by approximately 0.7% to close at 72 903. This decline extended the negative trend from the previous day, primarily driven by adverse risk sentiment stemming from concerns over a potential escalation of conflict in the Middle East. Simultaneously, apprehensions regarding the possibility of prolonged higher interest rates and mixed economic data from China further weighed on market sentiment. Analysing individual equity performances, several notable decliners included Picknpay, which experienced a 5.1% decline, along with British American Tobacco, Telkom, and Spar, all of which saw respective drops of 4%, 3.4%, and 3.3%. Zooming out to the broader picture, the JSE managed to make a notable recovery during the week, surging by an impressive 1.7%. This performance marked its most robust showing since late July, effectively putting an end to a three-week streak of consecutive declines. The Week Ahead In this, market participants will closely watch several key speeches by US Federal Reserve policymakers, aiming to gain insights into the potential direction of monetary policy in the months ahead. Simultaneously, the US third-quarter earnings season is in full swing, with highly anticipated reports expected from major corporations, including Bank of America, Goldman Sachs, American Express, Morgan Stanley, Johnson & Johnson, Procter & Gamble, Netflix, Tesla, AT&T, Blackstone, Philip Morris International, Taiwan Semiconductor Manufacturing, Intuitive Surgical, and SLB. Shifting attention to economic data, analysts are anticipating modest growth in September's retail sales, projected to have increased by 0.2% last month, a slight deceleration from the 0.6% rise seen in August. Industrial production figures are also noteworthy, with expectations of a 0.1% uptick, down from the 0.4% recorded in the previous period. The housing sector will be under scrutiny as well, with a focus on building permits, housing starts, and existing home sales. In the UK, the economic calendar is packed with important releases, including key reports on inflation, unemployment, and retail sales, as well as data on Gfk consumer confidence and public sector net borrowing. The UK's consumer price data for September is expected to reveal a slight easing in annual inflation to 6.5%, the lowest since February 2022. Other notable economic data includes the Euro Area's balance of trade, current account, and construction output. In China, a busy week of economic releases will be headlined by third-quarter GDP figures, expected to show a notable slowdown in growth. Market participants will eagerly await insights into the impact of Beijing's economic support measures. China will also release data on September's industrial production, retail sales, house prices, and unemployment rate, while the People's Bank of China (PBoC) will decide on new loan prime rates. In Japan, all eyes will be on September's inflation rate and trade balances as traders seek fresh clues regarding potential signals from the Bank of Japan (BoJ). Key Themes for the Week Ahead US Earnings season picks up The third quarter earnings season is gaining momentum, and it is anticipated to reveal improved profit growth after a relatively lacklustre first half of the year. Leading the charge is Tesla, which will kick off the earnings reports for megacap companies after the market closes on Wednesday. These companies have played a pivotal role in driving the rally in equity markets throughout the year. Bank of America and Goldman Sachs are both scheduled to report their earnings before the market opens on Tuesday, setting the tone for the week. Additionally, several regional banks are expected to release their earnings during the upcoming week. On a positive note, JPMorgan Chase, Wells Fargo and Citigroup reported quarterly profits on Friday that surpassed analysts' expectations, a boost attributed to higher interest rates. Among other noteworthy companies in the earnings spotlight are healthcare giant Johnson & Johnson, scheduled to report ahead of Tuesday's market opening, consumer products titan Procter & Gamble, with its earnings release set for Wednesday's opening, Netflix, whose report is expected after the market closes on Wednesday, and Philip Morris, slated to release its earnings ahead of the market opening on Thursday. These reports are likely to provide valuable insights into the performance of key sectors in the market. US data; Fed speak Beyond US corporate earnings, the forthcoming US retail sales data for September, scheduled for release on Tuesday, will offer valuable insights into the vigour of consumer spending, a pivotal driver of approximately two-thirds of the nation's economy. Economists are anticipating a modest 0.2% increase in retail sales for the past month. A stronger-than-expected result could ignite concerns of a resurgence in inflation and reinforce the perception that the US Fed will need to maintain higher interest rates for an extended period. Traders and investors will be closely monitoring remarks from Fed Chair Jerome Powell on Thursday when he delivers an address to the Economic Club of New York. Additionally, several regional Fed presidents are slated to make appearances during the week, including Patrick Harker, Thomas Barkin, Neel Kashkari, Loretta Mester, and Lorie Logan. Fed Governors Lisa Cook and Christopher Waller are also scheduled to deliver speeches. These statements from central bank officials will be scrutinised for any hints or guidance regarding monetary policy and its potential implications for the financial markets. Oil volatility Crude Oil WTI prices experienced a substantial surge of almost 6% on Friday, with Brent marking its most significant weekly gain since February. This uptick in prices was driven by the growing concern that the conflict in the Middle East could intensify, especially as Israel initiated ground operations within the Gaza Strip. It is important to note that the ongoing Middle East conflict has had minimal direct impact on global oil and gas supplies, and Israel is not a major oil producer. Nonetheless, investors and market observers are closely monitoring the situation, pondering the potential escalation and its implications for oil supplies from neighbouring countries in the world's leading oil-producing region. Another factor contributing to the price rally was the US' action on Thursday to impose sanctions on the owners of tankers transporting Russian oil at prices exceeding the Group of Seven's established price cap of $60 per barrel. This move aimed to address gaps in the mechanism designed to penalize Moscow for its invasion of Ukraine. Russia ranks as the world's second-largest oil producer and a substantial oil exporter. Therefore, heightened US scrutiny of Russian oil shipments has the potential to restrict oil supply, further influencing oil prices. China data Market observers are eagerly awaiting a barrage of economic data from China scheduled for release on Wednesday. This data is expected to provide insights into whether the somewhat uneven recovery in the world's second-largest economy is showing signs of stability. There are lingering uncertainties regarding the impact of the crisis in China's property sector and the extent to which Beijing may need to introduce additional stimulus measures. Economists anticipate that the data on gross domestic product (GDP) will indicate a modest uptick of 4.4% year-over-year, although this figure remains below Beijing's annual growth target of approximately 5%. There have been reports suggesting that the government is contemplating increasing its budget deficit to meet this year's growth target of 5%. In addition to GDP figures, separate reports on industrial production, retail sales, and unemployment are also anticipated to signal slight improvements in China's economic performance. These indicators will be closely scrutinised for any signs of resilience in the Chinese economy amid ongoing challenges. UK data The UK is poised to release its latest employment report on Tuesday, followed by the inflation figures for September a day later. These reports hold particular significance as they represent the final data releases before the Bank of England's forthcoming November meeting. Throughout the year, UK inflation has consistently exceeded expectations and has remained higher than the Bank of England's projections. However, in August, it decelerated more sharply than anticipated, surprising the financial markets. Nevertheless, it continues to hover well above the central bank's targeted rate of 2%. In the previous jobs report, there were indications that the UK labour market was beginning to cool, even though wage growth remained robust. Last month, the Bank of England narrowly voted to maintain interest rates at their current levels for the first time in nearly two years. This decision has raised the possibility that interest rates may have peaked, although the central bank has made it clear that it stands ready to take further action to combat inflation if necessary. South Africa News A water specialist expressed their dissatisfaction with Johannesburg Water, asserting that it is unjust for the utility company to place blame on residents for the water supply difficulties faced by the municipality. The organisation pointed to elevated water consumption and a surge in demand as the primary factors behind the recent water scarcity issues in the city. In certain regions of the municipality, residents have been forced to depend on water tankers for their supply, while in other areas, the situation has become even more dire with completely dry taps. President Cyril Ramaphosa has voiced concern, suggesting that the Israeli government's demand for 1.1 million Gaza residents to evacuate could potentially result in a humanitarian catastrophe. The ANC (African National Congress) has reiterated its unwavering support for Palestine amid the ongoing intensification of the conflict between Israel and Hamas. The African National Congress (ANC) maintains that South Africa has made progress in addressing its electricity challenges but acknowledges that the country is not entirely free from them yet. Economic Calendar In the upcoming economic calendar for this week, several significant events are scheduled to take place. source: investing.com https://www.unum.capital/research-disclaimer

The market overview serves as a comprehensive snapshot of the financial markets, providing a summary of various asset classes, sectors, and indices. Its primary purpose is to showcase the performance of different financial instruments over a specific period. https://www.unum.capital/research-disclaimer

The market overview serves as a comprehensive snapshot of the financial markets, providing a summary of various asset classes, sectors, and indices. Its primary purpose is to showcase the performance of different financial instruments over a specific period. https://www.unum.capital/research-disclaimer

Introduction When it comes to investing in shares, it's crucial to be armed with the right tools and knowledge to make informed decisions. One of the most important metrics that investors use to assess the risk and return potential of equities is beta. Beta is a numerical value that measures the sensitivity of a share's price movements relative to changes in the broader market. We will delve into the concept of beta and explore its significance for share investors. What is Beta? Beta, often denoted as "β," is a statistical measure used in finance to quantify the volatility or systematic risk of a share compared to the overall market. The market, in this context, is typically represented by an index, such as the Top 40 index. The beta value indicates how much a share's price is expected to move concerning the market's movements. It helps investors understand how closely the share's performance is tied to the market's fluctuations. Interpreting Beta Values β = 1: If a share has a beta of 1, it moves in perfect correlation with the market. Its price tends to rise or fall by the same percentage as the market index. Such shares are considered market-neutral in terms of volatility. β < 1: A share with a beta below 1 is less volatile than the market. In other words, it is expected to have smaller price swings than the overall market. These shares are often referred to as defensive equities and are perceived to offer a more stable investment option. β > 1: A share with a beta above 1 is more volatile than the market. It tends to experience larger price movements, both upward and downward, compared to the market index. These shares are considered aggressive or growth-oriented investments. Risk and Return Relationship Beta plays a crucial role in determining the risk and return profile of a share. Typically, higher beta shares offer the potential for greater returns but also come with higher risk. Conversely, lower beta shares may have more modest returns but tend to be less risky and more stable during market downturns. For example, if Share A has a beta of 1.5, and the market (represented by an index) increases by 10%, Share A might be expected to rise by 15% (1.5 times the market return). Conversely, if the market falls by 10%, Share A could be anticipated to decline by 15%. How to Use Beta in Investment Decisions Diversification: Beta can help investors build a diversified portfolio. By combining shares with different beta values, investors can offset the risk of high-beta shares with the stability of low-beta shares. Risk Management: Beta assists in assessing the level of risk an investor is willing to undertake. Conservative investors might opt for low-beta shares, while those seeking higher returns might favour high-beta shares. Market Timing: Understanding beta can help investors make better decisions about when to buy or sell a share. During a bullish market, high-beta shares may outperform, while during a bearish market, low-beta shares may hold up better. Limitations of Beta While beta is a valuable metric, it does have some limitations: Historical Data: Beta is based on historical price movements, and the past may not necessarily predict future performance accurately. Market Conditions: Beta assumes that market conditions will remain constant, which is often not the case. Single-factor Metric: Beta considers only market-related risk and does not account for other factors like company-specific events or changes in industry dynamics. Conclusion Beta is a useful tool for investors to gauge the volatility and risk associated with a particular share relative to the overall market. It aids in constructing a well-balanced portfolio and managing risk according to individual investment goals and risk tolerance. However, beta should not be the sole factor in investment decisions, as it's essential to consider other aspects of a company's fundamentals and the broader economic environment to make well-informed investment choices. As with any investment analysis, it's prudent to conduct thorough research. Top 40 share beta and selected markets: The heatmap displayed below presents the constituents of the Top 40 index alongside selected major markets. This dynamic heatmap is updated daily, providing valuable insights. For added convenience, you can download the corresponding data as an Excel file. Stay informed of the latest trends and changes in the market through this user-friendly visualisation. Download the Excel file here: https://www.unum.capital/research-disclaimer

Introduction In the world of share trading, understanding correlation is vital for making informed investment decisions and managing risk effectively. Correlation plays a crucial role in assessing how different shares or assets move in relation to each other, providing insights into portfolio diversification, risk management, and potential investment opportunities. We will explore the concept of correlation in share trading, its importance, and how traders and investors can leverage this knowledge to improve their strategies. What is Correlation in Share Trading? In share trading, correlation refers to the statistical relationship between the price movements of two or more shares or assets. When two shares have a positive correlation, they tend to move in the same direction – when one share's price increases, the other share's price also increases. On the other hand, a negative correlation indicates that two shares tend to move in opposite directions – when one share's price increases, the other share's price decreases. Finally, if two shares have a correlation close to zero, it suggests that their price movements are not significantly related. Measuring Correlation in Share Trading The most common method of measuring correlation between two shares is by using the Pearson correlation coefficient, just like in general statistics. The correlation coefficient ranges from -1 to 1, with the same interpretation as before: r = 1 indicates a perfect positive correlation, where the two shares move in complete harmony. r = -1 indicates a perfect negative correlation, where the two shares move in opposite directions. r ≈ 0 indicates little to no correlation, suggesting that the two shares have independent price movements. Importance of Correlation in Share Trading Understanding the correlation between different shares is crucial for several reasons: Diversification: Correlation helps traders identify assets that have low or negative correlations with each other. Diversifying a portfolio with assets that are not highly correlated can help reduce overall risk. When some assets decrease in value, others might increase, which can mitigate losses. Risk Management: High correlations among shares can increase the overall risk in a portfolio. If all shares in a portfolio are positively correlated, they are more likely to experience simultaneous declines during market downturns. By knowing the correlation between holdings, traders can optimise their portfolios to manage risk more effectively. Identifying Investment Opportunities: Traders can use correlation analysis to identify potential investment opportunities. For example, if they notice a positive correlation between two shares, they might consider one as a proxy for the other. If the correlation is negative, they may see a hedging opportunity to protect against price declines. Sector Analysis: Correlation analysis can help traders understand the broader movements within specific sectors or industries. For example, in a technology-heavy sector, many shares might be positively correlated, and understanding this can influence investment decisions within that sector. Limitations of Correlation in Share Trading While correlation is a valuable tool, it has its limitations: Changing Market Conditions: Correlations between shares can change over time due to shifts in market dynamics, economic conditions, or company-specific events. Traders need to monitor correlations regularly and be prepared for them to evolve. Limited to Linear Relationships: Correlation measures linear relationships between variables. Some shares may have non-linear relationships, making it important to consider other forms of analysis alongside correlation. Causation Concerns: As always, it's essential to remember that correlation does not imply causation. Just because two shares are correlated does not necessarily mean that one share causes the price movement of the other. Conclusion In share trading, understanding correlation is a powerful tool for making informed decisions, managing risk, and optimising investment portfolios. By analysing the relationship between different shares, traders can diversify their portfolios effectively, identify hedging opportunities, and navigate changing market conditions more intelligently. However, correlation should always be used in combination with other forms of analysis, and traders must be cautious about drawing causal conclusions solely based on correlation. With a solid understanding of correlation, traders can navigate the dynamic world of share trading with greater confidence and success. Top 40 share correlation and selected markets The heatmap displayed below presents the constituents of the Top 40 index alongside selected major markets. This dynamic heatmap is updated daily, providing valuable insights. For added convenience, you can download the corresponding data as an Excel file. Stay informed of the latest trends and changes in the market through this user-friendly visualisation. Download the Excel file here: https://www.unum.capital/research-disclaimer