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3
votes
1answer
95 views

Compare events effect on stock prices from different time periods

I’m going to test for the effect corporate credit rating announcements have on stock prices through different economic climates (good times vs. bad times). I want to research whether or not the stock ...
0
votes
1answer
31 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
votes
1answer
25 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 ...
0
votes
0answers
33 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
245 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 ...
0
votes
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
votes
0answers
160 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
votes
1answer
119 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 ...
1
vote
0answers
200 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
244 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 ...
17
votes
3answers
603 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
682 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
292 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 ...
11
votes
1answer
651 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 ...