Showing 1 - 10 of 3,644
We study estimation and non-parametric identification of preferences in two-sided matching markets using data from a …
Persistent link: https://www.econbiz.de/10010895674
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density. The first estimator is a...
Persistent link: https://www.econbiz.de/10003953034
This paper examines the capability of firm fundamentals in explaining the cross-sectional variation of credit default swap (CDS) spreads. The paper constructs a fundamental-based CDS valuation by combining the Merton distance-to-default measure with a long list of firm fundamental...
Persistent link: https://www.econbiz.de/10012940272
This paper shows that factor risk premia can be consistently estimated using a semi-parametric estimate of the stochastic discount factor without requiring a correctly specified linear factor model. We use a minimum discrepancy objective function to construct a stochastic discount factor from...
Persistent link: https://www.econbiz.de/10012900232
State price densities (SPD) are an important element in applied quantitative finance. In a Black-Scholes model they are lognormal distributions with constant volatility parameter. In practice volatility changes and the distribution deviates from log-normality. We estimate SPDs using EUREX option...
Persistent link: https://www.econbiz.de/10012966218
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density. The first estimator is a...
Persistent link: https://www.econbiz.de/10014123485
We show that the compensation for rare events accounts for a large fraction of the equity and variance risk premia in the S&P 500 market index. The probability of rare events vary significantly over time, increasing in periods of high market volatility, but the risk premium for tail events...
Persistent link: https://www.econbiz.de/10013158966
We propose a new and flexible non-parametric framework for estimating the jump tails of Itô semimartingale processes. The approach is based on a relatively simple-to-implement set of estimating equations associated with the compensator for the jump measure, or its "intensity", that only...
Persistent link: https://www.econbiz.de/10013144212
This paper examines the joint dynamics of a system of asset returns by describing and implementing a factor multivariate stochastic volatility (factor MSV) model. The foundation for the model discussed here is the work of Doz and Renault (2006). Despite its attractive design, that model has not...
Persistent link: https://www.econbiz.de/10013150665
We develop a novel machine learning method to estimate large dimensional time-varying GMM models via our newly designed …
Persistent link: https://www.econbiz.de/10013234588