Showing 1 - 10 of 10
In this paper, we apply a collection of parametric (Normal, Normal GARCH, Student GARCH, RiskMetrics and high-frequency duration models) and non-parametric (empirical quantile, extreme distributions models) Value-at-Risk (VaR) techniques to intraday data for three stocks traded on the New York...
Persistent link: https://www.econbiz.de/10005478955
This paper proposes a new approach to modeling volatility changes and clustering, we use a parsimonious high-order markov chain which allows for duration dependence.
Persistent link: https://www.econbiz.de/10005478561
We investigate in this paper the attitudes towards risk of bettors in British horse races. The model we use allows us to go beyond the expected utility framework and to explore various alternative proposals by estimating a multinomial model on a 34443-race dataset. We find that rank-dependent...
Persistent link: https://www.econbiz.de/10005486785
In this paper we model Value-at-Risk (VaR) for daily stock index returns using a collection of parametric models of the ARCH family based on the skewed Student distribution. We show that models that rely on a symmetric density distribution for the error term underperform with respect to skewed...
Persistent link: https://www.econbiz.de/10005669280
This paper presents a useful theoretical and empirical modelling for a probabilistic evaluation of the bank risk states. Bank riskiness is related to a stochastic recursive profit function from which different positions arise. Provided that the bank's decision maker objective is to maximise a...
Persistent link: https://www.econbiz.de/10005582675
This study uses GARCH modelling to estimate and forecast conditional variances and covariances of returns calculated from a set of financial market series: twelve markka exchange rates, twelve corresponding short-term euro interest rates and the Finnish short-term interest rate, the Finnish...
Persistent link: https://www.econbiz.de/10005625265
This paper introduces a notion on nonlinear innovation for the ananlysis of nonlinear dynamics. We show that nonlinear processes can be represented as functions of current and lagged values of nonlinear innovations.
Persistent link: https://www.econbiz.de/10005486765
Persistent link: https://www.econbiz.de/10005661251
This paper uses the transformed data method proposed in Duan (1994) to develop a maximum likelihood procedure for the estimation of the deposit insurance pricing model of Duan, Moreau and Sealey (1995). An empirical analysis is carried out on ten large US banks to illustrate the proposed...
Persistent link: https://www.econbiz.de/10005775500
We study the dynamics of the spread between U.S. corporate and Treasury bonds. We focus on Aaa and Baa corporate yield indices and estimate nonparametrically the dynamics of the spreads assuming that they follow a univariate diffusion process.
Persistent link: https://www.econbiz.de/10005671517