Showing 1 - 10 of 3,656
" states - following market declines and when market volatility is high - and are contemporaneous with market rebounds. We show …
Persistent link: https://www.econbiz.de/10012458228
This paper studies the predictability of ultra high-frequency stock returns and durations to relevant price, volume and transactions events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent,...
Persistent link: https://www.econbiz.de/10013362020
We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...
Persistent link: https://www.econbiz.de/10014322889
Black-Scholes constant volatility assumption is violated in practice. These authors hypothesize that the volatility of the … underlying asset's return is a deterministic function of the asset price and time and develop the deterministic volatility … significance of the implied deterministic volatility function by examining the predictive and hedging performance of the DV option …
Persistent link: https://www.econbiz.de/10012473359
In pricing primary-market options and in making secondary markets, financial intermediaries depend on the quality of forecasts of the variance of the underlying assets. Hence, the gain from improved pricing of options would be a measure of the value of a forecast of underlying asset returns....
Persistent link: https://www.econbiz.de/10012474423
-of-sample volatility of optimized portfolios from each model. A few factors capture the general covariance structure but adding more … yield similar results. Using a tracking error volatility criterion, larger differences appear, with particularly favorable …
Persistent link: https://www.econbiz.de/10012471761
We perform an experimental study of complexity to assess its effect on trading behavior, price volatility, liquidity …. Complexity altered subjects' bidding strategies, decreased liquidity, increased price volatility, and decreased trade efficiency … complex treatment. Our analysis suggests that complexity may be a driver of volatility and liquidity in financial markets and …
Persistent link: https://www.econbiz.de/10012462469
Using recent advances in the econometrics literature, we disentangle from high frequency observations on the transaction prices of a large sample of NYSE stocks a fundamental component and a microstructure noise component. We then relate these statistical measurements of market microstructure...
Persistent link: https://www.econbiz.de/10012464822
tests of market timing ability that bypass beta estimation problems. Assuming that different letters cater to investors with … about both market volatility and trading activity …
Persistent link: https://www.econbiz.de/10012474017
We show that firms' idiosyncratic volatility obeys a strong factor structure and that shocks to the common factor in … idiosyncratic volatility (CIV) are priced. Stocks in the lowest CIV-beta quintile earn average returns 5.4% per year higher than … heterogeneous-agent model. In the model, CIV is a priced state variable because an increase in idiosyncratic firm volatility raises …
Persistent link: https://www.econbiz.de/10012458588