This paper devotes a first and direct attention on the feedback trading behaviors of one of the largest investor populations in the world. Using a unique data set of historical stock transaction, we examine cross-sectional and time-varying buy-sell activities of Chinese investor as a function of a series of stock returns in past. The time-horizons over which investors trade in response to retur...

As the Stock index futures with Cri 300 index for the subject matter launch, the research to stock options done by China’s financial market is gradually in-depth, which has great significance to the improvement of the financial markets. With the Black-Scholes option formula, this paper attempts to study the sensitivity of single stock’ call option named Industrial and Commercial Bank of China L...

Which pricing kernel restrictions are needed to make low dimensional Markov models consistent with given sets of predictions on aggregate stock-market fluctuations ? This paper develops theoretical test conditions addressing this and related reverse engineering issues arising within a fairly general class of long-lived asset pricing models. These conditions solely affect the first primitives of...

We formulate a consumption-based asset pricing model in which aggregate risk aversion is time-varying in response to both news about consumption growth (as in a habit formation model) and news about inflation. We estimate our model and explore its pricing implications for the term structure of interest rates and the cross-section of stock returns. Our empirical results support the hypothesis th...

An efficient Monte-Carlo simulation for the pricing of barrier options in a Markov-switching model is presented. Compared to a brute-force approach, relying on the simulation of discretized trajectories, the presented algorithm simulates the underlying stock-price process only at state changes and at maturity. Given these pieces of information, option prices are evaluated using the probability ...

Informed Trading and the Pricing of Good and Bad Private Information in the Cross-Section of Expected Stock Returns We decompose PIN, the Probability of Informed Trading, into components that capture informed trading on good news (PIN G) and on bad news (PIN B), and provide new evidence that PIN and its components capture informed trading around quarterly earnings announcements. Our principal r...

The estimation of the price of different kinds of options plays a very important role in the development of strategies on financial and stock markets. There many books and various papers which are devoted to the exist mathematical theory of option pricing. Merton and Scholes became winners of a Nobel Prize in economy who described the basic concepts of the mathematical theory development. In th...

Large stock price movements are modeled as jumps in the stochastic processes of stock prices. In the current literature, the jump intensity is typically specified in models as a function of the current diffusive volatility and past jump intensities, while the jump size is assumed to be independent of the jump intensity. We use a nonparametric jump detection test to identify jumps in several sto...

This paper empirically analyzes the effect of the inclusion of German corporations in the Dow Jones STOXX Sustainability Index (DJSI STOXX) and the Dow Jones Sustainability World Index (DJSI World) on stock performance. In order to receive robust estimation results, we apply an (short-term) event study approach that is based on both a modern asset pricing model, namely the three-factor model ac...