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Recent theoretical work has shown the importance of measuring microeconomic uncertainty for models of both general and partial equilibrium under imperfect insurance.
In this paper the assumption of i...
Long-Horizon Mean-Variance Analysis:A User Guide.
Multi-objective mean-variance-skewness model
Electricity markets Generation portfolio management
2014/11/27
This paper proposes an approach for generation portfolio allocation based on mean–variance–skewness (MVS) model which is an extension of the classical mean–variance (MV) portfolio theory, to deal with...
Pricing joint claims on an asset and its realized variance under stochastic volatility models
Volatility derivatives stochastic volatility models partial differential equations parabolic equations target volatility option.
2012/9/14
In a stochastic volatility framework, we find a general pricing equation for the class of payoffs depending on the terminal value of a market asset and its final quadratic variation. This allows a pri...
Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework
exponential weighted moving average time -varying higher moments Cornish-Fisher expansion Gram -Charlier density risk management Value-at -Risk
2012/9/14
This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that joint...
Time-Consistent Mean-Variance Portfolio Selection in Discrete and Continuous Time
mean-variance criterion Markowitz problem portfolio optimisation time consistency time-inconsistent optimal control
2012/6/5
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control problem in the sense that it does not satisfy Bellman's optimality principle and therefore the usual dyna...
Variance Optimal Hedging for discrete time processes with independent increments. Application to Electricity Markets
Variance-optimal hedging Follmer-Schweizer decomposition Levy process Cumulative generating function Characteristic function
2012/6/5
We consider the discretized version of a (continuous-time) two-factor model introduced by Benth and coauthors for the electricity markets. For this model, the underlying is the exponent of a sum of in...
The Variance of Standard Option Returns
Variance of Standard Option Returns Pricing of Securities
2012/4/28
The vast majority of works on option pricing operate on the assumption of risk neutral valuation, and consequently focus on the expected value of option returns, and do not consider risk parameters, s...
Comprehensive Analysis of Market Conditions in the Foreign Exchange Market: Fluctuation Scaling and Variance-Covariance Matrix
Foreign Exchange Market Fluctuation Scaling Scaling Breaking Global Average of Cross-Correlations
2012/4/28
We investigate quotation and transaction activities in the foreign exchange market for every week during the period of June 2007 to December 2010. A scaling relationship between the mean values of num...
American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods
American Options Malliavin Calculus Monte Carlo GPU
2011/7/25
Abstract: This paper is devoted to pricing American options using Monte Carlo and the Malliavin calculus. Unlike the majority of articles related to this topic, in this work we will not use localizati...
Model independent hedging strategies for variance swaps
hedging strategies variance swaps Pricing of Securities
2011/7/25
Abstract: A variance swap is a derivative with a path-dependent payoff which allows investors to take positions on the future variability of an asset. In the idealised setting of a continuously monito...
Root's Barrier: Construction, Optimality and Applications to Variance Options
Construction Optimality Applications Variance Options Pricing of Securities
2011/7/25
Abstract: Recent work of Dupire (2005) and Carr & Lee (2010) has highlighted the importance of understanding the Skorokhod embedding originally proposed by Root (1969) for the model-independent hedgin...
Convex order properties of discrete realized variance and applications to variance options
independent increments increasing convex order discretely sampled
2011/3/30
We consider a square-integrable semimartingale with conditionally independent increments and symmetric jump measure, and show that its discrete realized variance dominates its quadratic variation in i...
Minding impacting events in a model of stochastic variance
Heteroscedastic processes Fat-tail distributions Perpetual memory
2011/3/23
We introduce a generalisation of the well-known ARCH process, widely used for generating uncorrelated stochastic time series with long-term non-Gaussian distributions and long-lasting correlations in ...
This paper considers the mean variance portfolio management problem. We examine portfolios which contain both primary and derivative securities. The challenge in this context is the well posedness of ...