Asset returns in efficient markets should not display serial correlations. Otherwise, asset prices would be predictable to a certain extent and arbitrage opportunities would appear, contradicting the assumption of efficiency.Lack of serial correlation is considered to be true for most...

Asset returns change with fundamentals and other factors, such as technical information and sentiment over time. In modeling time-varying expected returns, this article focuses on the out-of-sample predictability of the aggregate stock market return via extensions of the conventional predictive...

Models based on factors such as size, value, or momentum are ubiquitous in asset pricing. Therefore, portfolio allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a standard tool for liquid individual assets, this measure is...

Standard factor models focus on returns and leave prices undetermined. Thisapproach ignores information contained in the time-series of asset prices, relevantfor long-term investors and for detecting potential mispricing. To address this issue,we propose a novel (co-)integrated methodology to...

After showing that the distribution of the S&P 500's distortion, i.e. the log difference between its real stock market index and its real fundamental value, is bimodal, we demonstrate that agentbased financial market models may explain this puzzling observation. Within these models, speculators...

This paper sheds new light on the mutual relationship between investor sentiment and excess returns corresponding to the bubble component of stock prices. We propose to use the wavelet concept of the phase angle to determine the lead-lag relation between these variables. The wavelet phase angle...