Spot financial trends using this MS Excel tool and make advanced predictions for investing
financial planning that helps in achieving goals through active management and informed decision-making.
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Prediction typically uses analysis of historical trends and patterns, also known as trend forecasting. Additionally, associations between variables are used for prediction. Interlinked variables in the macroeconomy and financial markets help predict the value of one variable based on changes in another.
Examples of such interlinkages include the impact of interest rates on currency, where rising rates make a currency stronger. Similarly, inflation affects household expenditure, with rising prices leading to increased household spending. Changes in bond yields impact debt fund returns, with rising bond yields reducing returns.
Conceptually, making forecasts involves applying various statistical techniques, which can overwhelm non-technical investors. However, MS Excel simplifies these calculations with its built-in functions, requiring minimal inputs and providing instant forecasts. One well-known function for prediction in Excel is the FORECAST function. It uses linear regression for prediction and is best suited to forecast general trends or directions. However, it ignores other data patterns or variations.
In real life, data exhibits patterns beyond the long-term trends, such as seasonality. It’s characterised by regular, predictable patterns that recur over
