Dynamic Quantile Panel Data Analysis of Stock Returns Predictability
نویسندگان
چکیده
منابع مشابه
Quantile Regression for Dynamic Panel Data
This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression panel data model I develop an instrumental variables approach that employs lagged regressors as instruments. I show ...
متن کاملMultiscale Analysis of the Predictability of Stock Returns
Due to the strong complexity of financial markets, economics does not have a unified theory of price formation in financial markets. The most common assumption is the Efficient-Market Hypothesis, which has been attacked by a number of researchers, using different tools. There were varying degrees to which these tools complied with the formal definitions of efficiency and predictability. In our ...
متن کاملEntropy and Predictability of Stock Market Returns¤
We examine the predictability of stock market returns by employing a new metric entropy measure of dependence with several desirable properties. We compare our results with a number of traditional measures. The metric entropy is capable of detecting nonlinear dependence within the returns series, and is also capable of detecting nonlinear\a±nity" between the returns and their predictions obtain...
متن کاملEssays on Predictability of Stock Returns
This thesis consists of three chapters exploring predictability of stock returns. In the first chapter, I suggest a new approach to analysis of stock return predictability. Instead of relying on predictive regressions, I employ a state space framework. Acknowledging that expected returns and expected dividends are unobservable, I use the Kalman filter technique to extract them from the observed...
متن کاملPanel Data Models for Stock Returns: the Importance of Industries
We perform specification tests of unbalanced panel data models for stock return prediction using an estimate of the coefficient covariance matrix robust to spatial heteroskedasticity. We apply estimators of individual effects and time effects in unbalanced panel models. For a panel of 1243 US firms for the period 1985–2002 we find that industry effects are significant and interact with firm cha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Economics and Finance
سال: 2016
ISSN: 1916-9728,1916-971X
DOI: 10.5539/ijef.v8n2p115