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Review of Derivatives Research

Review of Derivatives Research OnlineFirst articles


Dynamic hedging with futures: a copula-based GARCH model with high-frequency data

Modeling the joint distribution of spot and futures returns is crucial for establishing optimal hedging strategies. This paper proposes a new class of dynamic copula-GARCH models that exploits information from high-frequency data for hedge ratio …


GARCH option pricing models with Meixner innovations

The paper presents GARCH option pricing models with Meixner-distributed innovations. The risk-neutral dynamics are derived by means of the conditional Esscher transform. Assessing the option pricing performance both in-sample and out-of-sample, we …


The pricing kernel puzzle in forward looking data

The pricing kernel puzzle concerns the locally increasing empirical pricing kernel, which is inconsistent with a risk-averse representative investor in a single period, single state variable setting. Some recent papers worry that the puzzle is …


Pricing exotic options in a regime switching economy: a Fourier transform method

This article considers the valuation of digital, barrier, and lookback options in a Markovian, regime-switching, Black–Scholes model. In Fourier space, integral representations for the option prices are derived via the theory on matrix Wiener–Hopf …


The volatility target effect in structured investment products with capital protection

Designing a structured investment product with capital protection which would be characterized by high capital protection level as well as high equity participation rate is a challenging task in the current market environment. Low interest rates …

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Über diese Zeitschrift

The proliferation of derivative assets during the past two decades is unprecedented. With this growth in derivatives comes the need for financial institutions, institutional investors, and corporations to use sophisticated quantitative techniques to take full advantage of the spectrum of these new financial instruments. Academic research has significantly contributed to our understanding of derivative assets and markets. The growth of derivative asset markets has been accompanied by a commensurate growth in the volume of scientific research.

The rapid growth of derivatives research combined with the current absence of a rigorous research journal catering to the area of derivatives, and the long lead-times in the existing academic journals, underlines the need for Review of Derivatives Research, which provides an international forum for researchers involved in the general areas of derivative assets. The Review publishes high quality articles dealing with the pricing and hedging of derivative assets on any underlying asset (commodity, interest rate, currency, equity, real estate, traded or non-traded, etc.). Specific topics include but are not limited to:
econometric analyses of derivative markets (efficiency, anomalies, performance, etc.)
analysis of swap markets
market microstructure and volatility issues
regulatory and taxation issues
credit risk
new areas of applications such as corporate finance (capital budgeting, debt innovations), international trade (tariffs and quotas), banking and insurance (embedded options, asset-liability management)
risk-sharing issues and the design of optimal derivative securities
risk management, management and control
valuation and analysis of the options embedded in capital projects
valuation and hedging of exotic options
new areas for further development (i.e. natural resources, environmental economics.

The Review has a double-blind refereeing process. In contrast to the delays in the decision making and publication processes of many current journals, the Review will provide authors with an initial decision within nine weeks of receipt of the manuscript and a goal of publication within six months after acceptance. Finally, a section of the journal is available for rapid publication on `hot' issues in the market, small technical pieces, and timely essays related to pending legislation and policy.

Officially cited as: Rev Deriv Res

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