This is the first paper about the high dimensional beta tests with high frequency financial data, which allowing that the number of regressors can be larger than the number of observations within each estimation block and can also grow to infinity in asymptotics. In this paper, the sum-type test...

Starting from the Cholesky-GARCH model, recently proposed by Darolles, Francq, and Laurent (2018), the paper introduces the Block-Cholesky GARCH (BC-GARCH). This new model adapts in a natural way to the asset pricing framework. After deriving conditions for stationarity, uniform invertibility...

Upon the announcement of the Shanghai-Hong Kong Stock Connect program, connected stocks in the Shanghai Stock Exchange experience significant value appreciation of 1.8% over a seven-day announcement window and significant increases in turnover and volatility compared with unconnected stocks with...

Researchers and practitioners face many choices when estimating an asset's sensitivities toward risk factors, i.e., betas. Using the entire U.S. stock universe and a sample period of more than 50 years, we find that a historical estimator based on daily return data with an exponential weighting...

Using high frequency data we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents over 2003-2011 generally exceed the corresponding continuous betas. Smaller stocks...

The low beta anomaly is well documented for equity markets. However, the existence of such a factor in corporate bond markets is less explored. I find that European corporate bonds of firms with a low equity beta have higher risk-adjusted returns, on average, than European corporate bonds of...

A direct measure of the cyclicality of momentum at a given point in time, its bottom-up beta with respect to the market, forecasts both the returns and the risk of the strategy. Challenging a potential risk-based explanation, a highly cyclical momentum portfolio forecasts both higher risk and...

We test whether bear market risk - time-variation in the probability of future bear market states - is priced. We construct an Arrow-Debreu security that pays off in bear market states (AD Bear) from traded S&P 500 index options and use its returns to measure bear market risk. We find that bear...