Tagged Questions
5
votes
3answers
265 views
The Basis of Using Technical Indicators as Inputs
In the process of my research I very often come across academic papers regarding modelling and trading strategies that in one way or another incorporate some technical indicators. For example in some ...
0
votes
1answer
151 views
Selecting timeframe for time series analysis
In technical analysis, we may use confluence of direction for 3 timeframes to roughly gauge bias of market now.
Similarly, if we use time series forecasting methods to predict(say daily data-whether ...
1
vote
1answer
420 views
Oscillatory time-series forecasting
I was wondering if this mean(160)-reverting/oscillatory time series "SUM" can be considered chaotic & forecastable to some extend short-term?
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10
votes
2answers
587 views
How to forecast expected volatility from high-frequency equity panel data?
I'm wading through the vast sea of literature on realized volatility estimation and expected volatility forecasting (see, e.g. Realized Volatility by Andersen and Benzoni, which cites 120 other ...
7
votes
2answers
385 views
Is there any research on applying state-space or dynamic linear models to forecasting equity risk premia?
Is there any research on applying state-space or dynamic linear models to forecasting equity risk premia on a security-by-security basis with a medium term horizon (say 3 month to 12 months horizon)?
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2
votes
1answer
323 views
Techniques for forecasting short-frame data?
I'm having a problem in which a time series of 24 data points is given to forecast the next 12 data points. This 24 data points might be sparse (many are missing).
Do you have any suggestion on what ...
7
votes
1answer
430 views
What methods do I need to learn in order forecast asset price movements?
What are the standard models used to forecast asset price movements? For example, if I were to trade an option, what model would I use in conjunction with option pricing models to forecast the stock ...
12
votes
4answers
5k views
Why are GARCH models used to forecast volatility if residuals are often correlated?
The answers to this question on forecast assessment suggest that if the sequence of residuals from the forecast are not properly independent, then the model is missing something and further changes ...
