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1answer
25 views

Diebold-Mariano test

I am trying to use the Diebold-Mariano test but it doesnt work for some reason. Here is my code: dm.test(maegarch14,maeegarch14,h=126) where ...
0
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1answer
21 views

Residuals in the Ljung box test

does anybody know what type of residuals is used in the Ljung box test in R? raw or standardized? Because basically when I fit a GARCH model using garchFit, the summary() function gives me all the ...
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0answers
31 views

Compare performance buy-and-hold strategies after stock-split

QUESTION: How should I analyze the statistical significance of the difference between two buy-and-hold strategies (or the relative performance) when the samples are not independent? Background: I ...
6
votes
1answer
192 views

What are the main market efficiency measures in the stock market?

I'm going to test for the effect of the change in market efficiency on the stock market portfolio, and, I want to know what are the main measures known in the academic literature in order to compare ...
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0answers
36 views

Impact of Implied skew variations on future prices

I want to test the relationship between of the oil implied volatility skew and oil future prices. I'm lost regarding the method to test the relationship. I was thinking about a regression but I'm ...
6
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0answers
149 views

Here is an approach for measuring Data Snooping; is it new?

I came up with an approach for measuring data snooping, or overfitting. My question is whether this approach was published and expanded-on already, or is it new? My approach relies on the observation ...
0
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1answer
118 views

Black-box local volatility pricer

I am testing a local volatility pricer by comparing its results under two settings: Pricing a 5yr ATM call option with a flat volatility of $0.194$ Pricing the call option with the typically shaped ...
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0answers
193 views

How to statistically compare the pricing errors of various option pricing models?

I have three different option pricing models, for which I computed the in-sample and out-of-sample pricing errors. Now I want to test the pricing performance of these three option pricing models ...
2
votes
1answer
241 views

Testing for stationarity in large sample sizes

I keep struggling with testing 9 samples if they are stationary. Each of these samples is a real valued time series with 714.000 values. If I use the KPSS test with the each compleete sample set, the ...
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3answers
593 views

Tests that any system must pass to be taken seriously

In an interview from '96 Bill Eckhardt points out that there are tests that any system must pass to be taken seriously. That is: tests for (1) overfitting, (2) post-dictiveness, (3) maldistribution ...
2
votes
1answer
675 views

a simpler test for normality given skewness, kurtosis and autocorrelation and size of time series

I typically do a JB (Jarque Bera) test and DW (Durbin Watson) tests for check for normality given skewness, kurtosis and autocorrelation of the data. However this requires a CHI distribution table ...
2
votes
1answer
288 views

Testing a simple stock market trading hypothesis? [closed]

I have a simple stock market trading hypothesis ... Something along these lines: Based on a certain deviation from a stock market index over a 30-day period, 5 certain stocks tend to drift ...
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1answer
646 views

What techniques are used for testing order book implementations?

I am finishing the implementation of a limit order book for modeling NASDAQ. The order book works off of the ITCH feed. My question is what techniques are typically used for testing order books. I am ...