Monte-Carlo Simulation for Forecasting Stock Returns with Python

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#Programming #Python
In this video I will Show you how to create a Monte Carlo Simulation to simulate and forecast the future cumulative returns of the S&P500. Please note that the Monte Carlo simulation has some challenges for example the simulation relies heavily on historical data to predict future returns.
This can be problematic because past performance is not always indicative of future results.
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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10 сен 2024

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Комментарии : 14

@OwenMaureen 27 дней назад

How do most of you guys still make profit, even with the downturn of the economy and ever increasing life standards

@-vv3rv 27 дней назад

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@MatthewRobinson3 27 дней назад

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@Honorato-vrp 27 дней назад

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@ann-ie4hc 27 дней назад

The first step to successful investment is figuring your goals and risk tolerance either on your own or with the help of a financial professional but it's very advisable you make use of professional

@OwenMaureen 27 дней назад

Please educate me. I've come across this name before. Now I am interested. How can I reach her?

@girolamoaloe6195 27 дней назад

But after you built the simulations, you should calculated an average or composite average, or something else, to get a financial tool usable for trading proposes. The Monte Carlo simulation alone is not enough. What would you do to make it usable?

@ComputerSciencecompsci112358 26 дней назад

Great question, you can take the average of the simulations or other statistical data (e.g. std dev) on the simulations to determine what the future price may be.