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Financial Derivatives (financial + derivative)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting80%

Selected Abstracts

Financial Derivatives and the Globalization of Risk

AMERICAN JOURNAL OF ECONOMICS AND SOCIOLOGY, Issue 2 2006
John E. Marthinsen
No abstract is available for this article. [source]

Handling Weather Related Risks Through the Financial Markets: Considerations of Credit Risk, Basis Risk, and Hedging

JOURNAL OF RISK AND INSURANCE, Issue 2 2007
Linda L. Golden
The profits of many businesses are strongly affected by weather related events, and insurance against weather related risks (acts of God) has been a traditional domain for transfer of (certain) of these risks. Recent innovations in the capital market have now provided financial instruments to transfer and hedge some of these risks. Unlike insurance solutions, however, using these financial derivative instruments creates a situation in which the return to the purchaser of the instrument is no longer perfectly correlated with the loss experienced. Such a mismatch creates new risks which must be examined and evaluated as part of ascertaining cost effective risk management plans. Two newly engendered risks, basis risk (the risk created by the fact that the return from the financial derivative is a function of weather at a prespecified geographical location which may not be identical to the location of the firm) and credit risk (the risk that the counterparty to the derivative contract may not perform), are analyzed in this article. Using custom tailored derivatives from the over the counter market can decrease basis risk, but increases credit risk. Using standardized exchange traded derivatives decreases credit risk but increases basis risk. Here also the effectiveness of using hedging methods involving forwards and futures having linear payoffs (linear hedging) and methods using derivatives having nonlinear payoffs such as those involving options (nonlinear hedging) for the purpose of hedging basis risk are examined jointly with credit risk. [source]

THE TEN COMMANDMENTS FOR OPTIMIZING VALUE-AT-RISK AND DAILY CAPITAL CHARGES

JOURNAL OF ECONOMIC SURVEYS, Issue 5 2009
Michael McAleer
Abstract Credit risk is the most important type of risk in terms of monetary value. Another key risk measure is market risk, which is concerned with stocks and bonds, and related financial derivatives, as well as exchange rates and interest rates. This paper is concerned with market risk management and monitoring under the Basel II Accord, and presents Ten Commandments for optimizing value-at-risk (VaR) and daily capital charges, based on choosing wisely from (1) conditional, stochastic and realized volatility; (2) symmetry, asymmetry and leverage; (3) dynamic correlations and dynamic covariances; (4) single index and portfolio models; (5) parametric, semi-parametric and non-parametric models; (6) estimation, simulation and calibration of parameters; (7) assumptions, regularity conditions and statistical properties; (8) accuracy in calculating moments and forecasts; (9) optimizing threshold violations and economic benefits; and (10) optimizing private and public benefits of risk management. For practical purposes, it is found that the Basel II Accord would seem to encourage excessive risk taking at the expense of providing accurate measures and forecasts of risk and VaR. [source]

Corporate usage of financial derivatives, information asymmetry, and insider trading

THE JOURNAL OF FUTURES MARKETS, Issue 1 2010
Hoa Nguyen
This article investigates whether financial derivative usage by Australian corporations constitutes information asymmetry when proxied by profitable trading in the firms' securities by insiders. The findings show that insiders who trade in companies that employ derivatives make larger purchase returns compared to insiders in nonuser firms with regard to trading identity, trading intensity, variability of usage, volume of trading, and industry effects. A plausible explanation is that asymmetry is driven by derivative traders who undertake noisy transactions in firms where risk outcomes were previously transparent. Excess returns are confined to purchase transactions consistent with insiders primarily selling for noninformation reasons. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:25,47, 2010 [source]

HDD and CDD option pricing with market price of weather risk for Taiwan

THE JOURNAL OF FUTURES MARKETS, Issue 8 2008
Hung-Hsi Huang
This study extends the long-term temperature model proposed by Alaton et al. (2002) by taking into account ARCH/GARCH effects to reflect the clustering of volatility in temperature. The fixed variance model and the ARCH model are estimated using Taiwan weather data from 1974 through 2003. The results show that for HDD/CDD the call price is higher under ARCH-effects variance than under fixed variance, while the put price is lower. Although different pricing methods are employed in pricing weather options, the effects of mean and standard deviation on option prices are mathematically proved to be the same as those in pricing traditional financial derivatives using the Black-Scholes formula. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:790,814, 2008 [source]