Dear all,
I'm currently doing a research on Google trends to investigate how internet searches are related to the trading activity, volatility and liquidity of the financial market. I want to investigate whether information from internet searches can improve volatility forecasting. Since this requires some programming skills and I'm fairly new with Stata, I'm reaching for help here and hope someone can give me a guided answer. I obviously need some data in order to conduct our analysis, so my first challenge is to convert daily stock prices into weekly price in such way that they would be aligned with the weekly google search data. I'm using 5-years historical daily prices, which I already have downloaded into an excel-file. I tried to use this guide: https://sites.google.com/site/imspes...ly-frequencies, but can't get the hang of it. Is there a way to do it in Stata?
Your help is greatly appreciated!
I'm currently doing a research on Google trends to investigate how internet searches are related to the trading activity, volatility and liquidity of the financial market. I want to investigate whether information from internet searches can improve volatility forecasting. Since this requires some programming skills and I'm fairly new with Stata, I'm reaching for help here and hope someone can give me a guided answer. I obviously need some data in order to conduct our analysis, so my first challenge is to convert daily stock prices into weekly price in such way that they would be aligned with the weekly google search data. I'm using 5-years historical daily prices, which I already have downloaded into an excel-file. I tried to use this guide: https://sites.google.com/site/imspes...ly-frequencies, but can't get the hang of it. Is there a way to do it in Stata?
Your help is greatly appreciated!
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