Showing 1 - 10 of 562
implied volatilities (IV) plays an important role, since volatility is the crucial parameter in the Black-Scholes (BS) pricing … known as volatility smiles or smirks that contradict the assumption of constant volatility in the BS pricing model. On the …
Persistent link: https://www.econbiz.de/10005862325
volatility and risk aversion that are similar to the ones observed in the data. In addition, the model produces an implied …
Persistent link: https://www.econbiz.de/10005858509
are applied in a stochastic volatility model to get efficient derivative prices, to measure the uncertainty of estimated …
Persistent link: https://www.econbiz.de/10005858515
We develop a discrete-time stochastic volatility option pricing model, which exploits the informationcontained in high …-frequency data. The Realized Volatility (RV) is used as a proxy of the unobservablelog-returns volatility. We model its dynamics by a … stochastic volatility pricing models. The pricing improvementcan be ascribed to: (i) The direct use of the RV, which provides a …
Persistent link: https://www.econbiz.de/10009486857
, especially on the BS implied volatility. Implied binomialtrees (IBT) models capture the variations of the implied volatility … known as \volatility smile". They provide a discrete approximation to the continuous risk neutral process for the underlying … Barle and Cakici (BC). After the formation of IBT we can estimate the implied local volatility and thestate price density …
Persistent link: https://www.econbiz.de/10005860517
Functional data analysis (FDA) has become a popular technique in applied statistics.In particular, this methodology has received considerable attention in recent studiesin empirical finance. In this talk we discuss selected topics of functional principalcomponents analysis that are motivated by...
Persistent link: https://www.econbiz.de/10005862112
This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...
Persistent link: https://www.econbiz.de/10005858309
In the social sciences, it is often useful to introduce latent variables and usestructural equation modeling to quantify relations among observable and latentvariables. Data gathered through surveys is frequently ordinal in nature, asLikert-scale type questions are used in most questionnaires....
Persistent link: https://www.econbiz.de/10008911492
We present an object-oriented software framework allowing to specify, solve, and estimate nonlinear dynamic general equilibrium (DSGE) models. The implemented solution methods for finding the unknown policy function are the standard linearization around the deterministic steady state, and a...
Persistent link: https://www.econbiz.de/10005860533
We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...
Persistent link: https://www.econbiz.de/10005860578