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Feature Selection Effect on Deep Multi-Layer-Perceptron for Financial Applications

I am trying to build a machine learning system for financial price prediction. I am using a 3 layer MLP (a deep network) with 3 outputs (buy,hold,sell). I am using different features such as price ...
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109 views

Applications of distance correlation

This question mentions distance correlation. Where has this concept been applied to financial data and provided new insight? Do you know any examples or references?
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156 views

Is it more accurate to analyze returns on a calendar day basis than a trading day basis?

I'm rather new to the actual practice of this kind of analysis, but it just seems wrong to me to throw Mondays' returns in with the rest without accounting for the passage of time on the weekend when ...
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Reducing multicollinearity in Arbitrage Pricing model

I am working on a test example where the idea is to come up with a model that predicts S&P500 returns using the 9 S&P subsectors(XLY,XLP,XLF,etc) as FACTORS.Now i know there exists ...
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36 views

Using the R package “ termstrc ”

I am attempting to use the function estim_nss from the termstrc package in R. However, I am experiencing the following error: ...
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63 views

Log returns vs. prices

I am currently working on a stat arb that is giving me a little bit of trouble. I'm under the impression that most stat arbs are going to use prices such that we can choose a ratio N such that: Price ...
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57 views

I want to optimize an equity portfolio for the four central moments can anyone help me with the problem formulation

Basically i am confused as to which formula to use for portfolio skew and kurtosis and how to use the same in the optimization problem. I would also like to know the options available regarding the ...