Vector autoregression: forecasting and trading applications (Excel)
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- Опубликовано: 3 мар 2024
- Today we are investigating vector autoregression (VAR) - a very prominent concept in time series econometrics - and how it can be used to forecast stock returns and construct simple trading strategies.
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You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7
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Great video, you are by far the best online teacher out there! Could you make a video about optimal capital structure and credit spreads using the leland model?
Another gem, thank you!
video suggestion: beta hedging for pair trades
Great video!
Thank you for sharing
Great Content! Video request: Factor decomposition of an example CTA hedge funds return, regressed against factor indexes like volatility, carry, mean reversion/value, time series momentum
Thank you great video
Great video! One question: aren't VAR-predicted returns supposed to be computed against the lag, rather than the contemporaneous change? If yes, how would this change results?
Sir can you make video on decile size adjusted return, idiosyncratic risk and industry value weighted returns, it will be really helpful.
legendary
I can't find the spreadsheet for this video and many other at the link
Great video tutorial! However, I noted you posted a link to review the Excel document featured in this video and was not able to locate NEDL_VAR_trading. Let me know if it can be posted, or if it is, how to locate.
I was able to reproduce - following you video. I did have a question on how it might be done if you were wanting to focus on a single stock, but incorporate 5 indicators (moving averages, supertrend, etc...). Do you think this could be similarly run - but in addition to predicting stock price movements (up or down) it would also predict the status of the indicator, assuming they are encoded one-hot or perhaps binary (0 or 1). Curious to hear your thoughts.
Hello, thank you for the videos. I’m trying to reach you via mail and linkedin, could you please respond if you can see the message. Thank you again