Showing 1 - 10 of 2,318
extreme downside return risk and is mainly driven by more recent years. There is no premium for stocks whose liquidity is …We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside … same time when the market liquidity (return) is lowest. This effect is not driven by linear or downside liquidity risk or …
Persistent link: https://www.econbiz.de/10012175486
We show that the Truncated Realized Variance (TRV) of a semimartingale asset price converges to zero when observations are contaminated by microstructure noises. Under the additive iid noise assumption, a central limit theorem is also proved. In consequence it is possible to construct a feasible...
Persistent link: https://www.econbiz.de/10013113504
the primary catastrophe bond market remains inefficient, and that factors external to the underlying risk might still …
Persistent link: https://www.econbiz.de/10013222532
This paper analyses the effects of containment measures and monetary and fiscal responses on US financial markets during the Covid-19 pandemic. More specifically, it applies fractional integration methods to analyse their impact on the daily S&P500, the US Treasury Bond Index (USTB), the S&P...
Persistent link: https://www.econbiz.de/10012584220
Persistent link: https://www.econbiz.de/10010490970
In this paper we propose a Lagrange multiplier test for volatility interactions among markets or assets. The null hypothesis is the Constant Conditional Correlation GARCH model in which volatility of an asset is described only through lagged squared innovations and volatility of its own. The...
Persistent link: https://www.econbiz.de/10003400410
We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock...
Persistent link: https://www.econbiz.de/10011618038
We develop a finite-sample procedure to test the beta-pricing representation of linear factor pricing models that is applicable even if the number of test assets is greater than the length of the time series. Our distribution-free framework leaves open the possibility of unknown forms of...
Persistent link: https://www.econbiz.de/10010279873
We develop a finite-sample procedure to test for mean-variance efficiency and spanning without imposing any parametric assumptions on the distribution of model disturbances. In so doing, we provide an exact distribution-free method to test uniform linear restrictions in multivariate linear...
Persistent link: https://www.econbiz.de/10009746573
We develop a finite-sample procedure to test the beta-pricing representation of linear factor pricing models that is applicable even if the number of test assets is greater than the length of the time series. Our distribution-free framework leaves open the possibility of unknown forms of...
Persistent link: https://www.econbiz.de/10008771577