# Tagged Questions

Techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.

298 views

### Regression model when samples are small and not correlated

I received this question during an onsite interview for a quant job and I'm still scratching my head on how to solve this problem. Any help would be appreciated. Mr Quant thinks that there is a ...
23 views

### VAR FPCA analysis paper replication

I've been trying to replicate the following publication: toronto.edu/sjaimung/papers/VAR-FPCA.pdf but I havent been able to get the same results estimating the $\beta_{k}$ parameters. First, I got ...
10 views

### Fit Simple VAR model in Matlab

I've been trying to fit the following model in Matlab: $\beta_{t}=a+Mt+A\beta_{t-1}+\epsilon_{t}$ Where a is a constant, M is a vector of trend parameters and A a cross-factor interaction matrix. I'...
34 views

### Is the prediction of a cointegrated series of the same scale of the series itself?

Hi Quant Stack Exchange, Suppose $X_t$ and $Y_t$ are cointegrated and I form the cointegrated series $X_t+\alpha Y_t$ where $\alpha$ is derived from regressing $X_t$ against $Y_t$. $X_t$ and $Y_t$ ...
27 views

### Fama-Macbeth regression in Eviews

I'm adding a new factor to Fama-French three-factor model. I have constructed portfolios and got 18 three-way sorted portfolios. Now, I think I have to do Macbeth procedure to test the model. I'm ...
129 views

### Fama-French three-factor model vs four-factor (Carhart) and five-factor model

I'm performing a study where I compare the Fama-French three factor model to the CAPM on the Swedish industrials industry. I do this to compare which of the models is the best performer, but also if ...
33 views

### Heteroskedasticity and significance of parameters

I am doing a regression analysis and my variable of interest turns out to be significant at the 5% level, but the model contains heteroskedasticity which can not be mitigated (using Box-Cox, Feasible ...
64 views

### Regressing using Fama-French portfolios with small amount of stocks

I'm doing some research for my thesis and I was wondering if it is possible to only use monthly stock price data for 22 stocks and construct Fama-French portfolios out of them and then regress? What ...
53 views

### Regression coefficient and basic trading strategy

This question might be very basic but still I couldn't really find a satisfying answer anywhere. I want to analyse the effect of a repeated event (data release) on the price of a specific asset (I ...
244 views

### Hedge Fund risk management on a daily basis

Since Hedge Funds/Fund of Funds report on a monthly basis usually within 10 days after the month end, monitoring and managing (hedging) potential risks is quite a difficult task. Having done some ...
31 views

### logistic regression multivariable fractional ploynomials stata vs. R

I a going through Hosmer, Lemenshow and Sturdivant's (HLS) Applied Logistic Regression (2013) and trying to interpret the difference between what STATA is doing and what R is doing. Concerning the fit ...
20 views

### How to measure practically the performance of Venture Capital backed tech firms following an IPO?

I am currently writing a thesis about whether the fact that a tech firm backed by venture capital companies achieves higher returns following an IPO (Horizon of 3 years). I have about 800 tech ...
5k views

### Machine Learning vs Regression and/or Why still use the latter?

I come from a different field (Machine learning/AI/data science), but aim to ask a philosophical question with the utmost respect: Why do quantitative financial analysts (analysts/traders/etc.) prefer ...
14 views

### Are the returns in this regression signed returns?

In this paper about combining multiple alphas are the returns signed returns? if not wouldn't they be mean zero? Also, it mentions "realized alpha returns" - does that just mean "realized" past alpha ...
72 views

### Trading signal strength: [-1 to 1] or [predicted return]?

In the context of a backtesting engine, is it better to have strategy generate trade signals in the range from -1 to 1 or as exact predicted returns (e.g. -12% or 26%). The difference lies in how to ...
60 views

### Can a momentum strategy be cast as a multilinear regression model?

Disclaimer: the question is similar to Can momentum strategies be quantitative in nature? and (to an extent) What is the expected return I should use for the momentum strategy in MV optimization ...
16 views

### subsamples versus dummy variable approach, Fama MacBeth (1973) procedure

I am running an asset pricing test (Fama MacBeth); regressing six month ahead excess stock returns on past six month return (momentum) and a number of control variables (B/M, Size etc). I have run my ...
14 views

### Deming Regression

I am trying to test the linearity = interdependence or the non-linear (contagion) between Asian countries during the Asian crises using the fluctuation of the exchange rate. Is it relevant to use the ...
27 views

Suppose you have historical returns for a portfolio. You regress these against the Fama French factors to get the loadings/coefficients. How can you use this information? For example, can you use the ...
21 views

### Using the univariate regression coefficient to calculate cumulative return - does it make sense?

When testing a stand-alone signal usually one of the simple tests I do is a long-short equal-weight strategy to see how the wealth chart looks like. Going through my predecessor's code I see ...
24 views

### Why do people use weighted regression with returns?

For example, by ADV. Intuitively it makes sense that a very liquid high ADV stock should carry more weight, but when I try it with some real life data I get higher standard error than unweighted...is ...
15 views

### Affect of choosing different combinations of variables for multivariate regression [closed]

If I have variables x1,x2,x3,and x4 that have correlation coefficients âˆ’0.9,âˆ’0.5,0.5, and 0.9 to another variable y, what is the effect of choosing different combinations of them in a multivariate ...
34 views

### Cross-sectional Regression: Using calculated coefficient of first regression for a second regression as dependent variable

Hello stackexchange community! I am new to R and econometrics and and stuck in a step of the fama-macbeth (1973) regression, in which risk premia of stocks are estimated with a two-step regression ...
116 views

### Degrees of freedom in calculating significance of GARCH coefficients

I am trying to determine the significance of coefficients of a GARCH model by calculate the p-values using the following Matlab formula: pvalues = 2*(1-tcdf(abs(t),n-v)), where $t$ is the t-stat,...
125 views

### Modelling and forecasting mixed frequency financial data

I was wondering if someone could provide some guidance to me. I would like to Combine various financial data of mixed frequencies (some daily, weekly, some quarterly) to a composite index. I have ...
61 views

### Linear Regession 3 methods different results

Morning, So I use a package called Ninja Trader that has a linear regression method, I have also written my own method and compared the results to excels linear regression method. All three are ...
137 views

### Return Attribution: Possible remedies for multicollinearity

Let's say I have the following regression setup, which I am using for portfolio return attribution: $R = 1*\beta(1) + A*\beta(2) + B*\beta(3) + C*\beta(4) + \epsilon$ where A is dummy matrix of ...
55 views

154 views

### How to interpret regression coefficients with dummy explanatory variables?

I am a bit confused about the interpretation of the regression coefficients in a regression model: $R_{t}=\beta_0+\beta_1R_{mt}+\beta_2D_{t}+\epsilon_t$ where $R_{t}$ is the log return of some stock,...
38 views

### Testing day of the week effect

I am currently reading a bit about testing day of the weeks effects. I saw two different model specifications and wonder how to interpret the results. The first model type includes only 4 dummies for ...
42 views

### regression analysis [closed]

"A model estimated with a large no. of observations may allow one to reject null hypothesis of zero coefficients for many explanatory variables.Thus we might choose to select a somewhat lower ...
30 views

What procedures can I apply to control in a regression on company returns for thinly traded stocks? Is the inclusion of the SMB-factor a potential approach? Or just a dummy variable indicating if a ...
409 views

### Does Kalman filter always improve over linear regression?

If I have a simple linear regression that has statistical signification but I would like to improve the overall prediction results. Will a Kalman filter be always an improvement or as least achieve ...
529 views

### Moving window forecasting in Python

I am looking to create some code that will out-of-sample forecast the HAR-RV model. The model itself is formulated as the following, and the betas are estimated through HAC-OLS or Newey-West. ...