The paper concerns an issue of existence of a risk premium in equity and index futures markets. The paper consists of four parts. The first part describes the basic hypotheses of forward curves in the futures market. In the second section, I formulate 5 hypotheses concerning a risk premium in...

This paper considers the dynamics of spot and futures prices in the presence of arbitrage. A partially linear error correction model is proposed where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference. The model is estimated using data on the DAX index...

Using local linear regressions based on Russell index reconstitution, we examine how option price efficiency is affected by stock market indexing. We find that put-call parity deviation, a proxy for options price efficiency, is significantly smaller if a stock is at the top of the Russell 2000...

We show how specific features of the microstructure information from VPIN and DPIN can volatile the futures market and can link with the price discover and investor sentiment. We develop an investor (institutional, noise, and both) sentiment index for the Shanghai Stock Exchange 50 (SSE 50)...

This research aims to revisit the price discovery relationship between spot and futures prices of Indian equity index S&P CNX Nifty, using neural network approach. This study uses minute-by-minute prices of 167 trading days ranging from January, 2015 to August, 2015 to gain fresh insights on...

The aim of this paper is twofold: to investigate how the information content of implied volatility varies according to moneyness and option type and to compare option-based forecasts with historical volatility. The different information content of implied volatility is examined for the most...

The paper concerns an issue of existence of a risk premium in equity and index futures markets. The paper consists of four parts. The first part describes the basic hypotheses of forward curves in the futures market. In the second section, I formulate 5 hypotheses concerning a risk premium in...

Supported by empirical examples, this paper provides a theoretical analysis on the impacts of using a suboptimal information set for the estimation of the empirical pricing kernel and, more in general, for the validity of the fundamental theorems of asset pricing. While inferring the...

We propose a nonparametric Bayesian approach for the estimation of the pricing kernel. Historical stock returns and option market data are combined through the Dirichlet Process (DP) to construct an option-adjusted physical measure. The precision parameter of the DP process is calibrated to the...