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...

This paper analyzes structured products with a focus on the Swiss market. Empirical results for these products' five major categories are presented, along with case studies and a general discussion. The paper addresses three main questions: How did structured products perform in the period...

I show that the inventory risk faced by market-makers has a first-order effect on option prices. I introduce a simple approach that decomposes the price impact of trades into inventory risk and asymmetric information components. While both components are large for option trades, the inventory...

We elaborate economic explanations for the time-varying risk of month, quarter and year base load electricity forward contracts traded on the Nord Pool Energy Exchange from January 2006 to March 2010. Daily risk quantities are generated by decomposing realized volatility in its continuous and...

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...

To what extent are futures prices interconnected across the maturity curve? Where in the term structure do price shocks originate, and which maturities do they reach? We propose a new approach, based on information theory, to study these cross-maturity linkages and the extent to which...

The purpose of this study is to revisit price discovery process in Indian stock market for spot and futures of S&P CNX Nifty, by using high-frequency data to gain fresh insights. The sample consists of high-frequency data for the period from January 2014 to August 2015. Stationarity and...

We forecast monthly Value at Risk (VaR) and Conditional Value at Risk (CVaR) using option market data and four different econometric techniques. Independently from the econometric approach used, all models produce quick to estimate forward-looking risk measures that do not depend from the amount...

This paper proposes that, and explains why, hedge profits and regression approach hedge ratios should be calculated using cost-of-carry-adjusted price changes. This Modified Regression Method for determining hedge ratios is denoted MRM. The paper discusses the Error-Correction Model for hedge...

Recent studies provide contradictory evidence about the impact of speculation on commodity prices. Rather than directly evaluating this relationship we instead use a novel approach to assess if speculation can inform our choice of factor inclusion in modelling oil futures