This paper examines the incentives from stock options for loss-averse employees subject to probability weighting. Employing the certainty equivalence principle, I built on insights from Cumulative Prospect Theory (CPT) to derive a continuous time model to value options from the perspective of a...

This paper examines the incentives from stock options for loss-averse employees subject to probability weighting. Employing the certainty equivalence principle, I built on insights from Cumulative Prospect Theory (CPT) to derive a continuous time model to value options from the perspective of a...

Using data on more than 750 million futures trades during 2004-2013, we analyze eight stylized facts of commodity price and volatility dynamics in the post financialization period. We pay particular attention to the factor structure in returns and volatility and to commodity market integration...

We derive a general equilibrium linear relationship between the market prices of risks and market risk aversion under a continuous time stochastic volatility model completed by liquidly traded options. The relation is robust as it is valid for both endowment and production economies, and for...

The Wishart autoregressive (WAR) process is a powerful tool to model multivariate stochastic volatility (MSV) with correlation risk and derive closed-form solutions in various asset pricing models. However, making inferences of the WAR stochastic volatility (WAR-SV) model is challenging because...

In this study, we use both parametric and non-parametric methods to test the property of martingale restriction in KOSPI 200 index options market. Our results provide strong evidence that the property is violated. Further regression analysis and robustness checks suggest that market friction...

We develop the Nelson-Siegel model in the context of option-implied volatility term structure and study the time-series of three volatility components in the model. We show that these components, corresponding to the level, slope and curvature of the volatility term structure, can be interpreted...

This paper applies a survival analysis to individual hedge fund data reported in the Lipper TASS database. We use several methodologies including the non-parametric survival analysis, the Semi-parametric Cox proportional hazard analysis with shared frailty, and the logit analysis to assess the...

In this paper, we utilize a mean reverting stochastic process to model the dynamic behaviour of natural gas consumption, where a Brownian motion drives the noise. We employ daily data on natural gas consumption from Istanbul, Turkey to estimate our model and evaluate the forecast performance by...

This paper develops a simple macroeconomic model of systemic risk in the form of financial accelerator effects: adverse developments in financial markets and in the real economy mutually reinforce each other and lead to a feedback cycle of falling asset prices, deteriorating balance sheets and...