Regime-Switching Risk: To Price or Not to Price?
نویسنده
چکیده
Should the regime-switching risk be priced? This is perhaps one of the important “normative” issues to be addressed in pricing contingent claims under a Markovian, regime-switching, BlackScholes-Merton model. We address this issue using a minimal relative entropy approach. Firstly, we apply a martingale representation for a double martingale to characterize the canonical space of equivalent martingale measures which may be viewed as the largest space of equivalent martingale measures to incorporate both the diffusion risk and the regime-switching risk. Then we show that an optimal equivalent martingale measure over the canonical space selected by minimizing the relative entropy between an equivalent martingale measure and the real-world probability measure does not price the regime-switching risk. The optimal measure also justifies the use of the Esscher transform for option valuation in the regime-switching market.
منابع مشابه
Forecasting Crude Oil prices Volatility and Value at Risk: Single and Switching Regime GARCH Models
Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...
متن کاملEstimating Stock Price in Energy Market Including Oil, Gas, and Coal: The Comparison of Linear and Non-Linear Two-State Markov Regime Switching Models
A common method to study the dynamic behavior of macroeconomic variables is using linear time series models; however, they are unable to explain nonlinear behavior of the series. Given the dependency between stock market and derivatives, the behavior of the underlying asset price can be modeled using Markov switching process properties and the economic regime significance. In this paper, a two-...
متن کاملDating Business Cycle in Oil Exporting Countries
In this paper, we empirically investigate the relationship between oil price changes and output in a group of oil exporting countries. The dynamics of business cycles in Libya, Saudi Arabia, Nigeria, Kuwait, Venezuela and Qatar are modeled by alternative regime switching models. We show that the extension of uni-variate Markov Switching model in order to include oil revenue improves dating busi...
متن کاملThe Effects of Oil Price Shocks on Transitional Dynamics of Business Cycles in Iran: Markov Switching Model with Time Varying Transition Probabilities (MS-TVTP)
The business cycles are one of the most important economic indicators that they show the changes in economic activities during time. The study of business cycles is important because the understanding fluctuations in GDP and effective factors on these fluctuations help policy makers to plan better and more efficient. The main purpose of this paper is to investigate the effects of oil price shoc...
متن کاملMarkov-switching analysis of exchange rate pass-through: Sugar Price in Iran
Due to its inherent role in ensuring food security and as one of the productive sectors of the economy, the agricultural sector has a priority in receiving preferential currency. Having a preferred currency has caused the price of this commodity in the market to be multi-valued. On the other hand, the allocation of billions of dollars at a price lower than the free market price of foreign excha...
متن کاملNon-Linear Relationships Among Oil Price, Gold Price and Stock Market Returns in Iran: A Multivariate Regime-Switching Approach
In this paper, the effects of oil and gold prices on stock market index are investigated. We use a cointegrated vector autoregressive Markov-switching model to examine the nonlinear properties of these three variables during the period of January 2003 - December 2014. The Markov-switching vector-equilibrium-correction model with three regimes representing "deep recession", "mild recession" and ...
متن کامل