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Papers on "Modeling Strategies for Financial Hedging" and similar term paper topics

Paper #104006 :: Modeling Strategies for Financial Hedging
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An examination of GARCH or generalized auto regressive conditional heteroskedasticity, which is a modeling technique that allows researchers to predict for financial variances.

Written in 2008; 962 words; 7 sources; MLA; $ 34.95

Paper Summary:

The predominance of existing research related to hedging strategies relative to the futures markets is typically concerned with agricultural, foreign exchange (forex), and petroleum products. This paper attempts to offer some insight relative to the mathematical modeling techniques which financial hedging strategists employ in order to be successful at mitigating risk. The paper explains that modeling volatility within the financial markets has not received a great deal of academic attention. The paper then looks at how Siddique and Harvey, in "Auto regressive Conditional Skewness" undertook a study of auto regressive conditional skewness which utilized GARCH techniques wherein they concluded that auto regressive models might be successful at modeling time-series variations relative to asset pricing such as stock returns but not necessarily for futures and related hedging strategies. The paper shows that researchers successfully applied the GARCH model to daily returns volatility of two separate futures markets in commodities. The paper concludes that these researchers proved that every hedging entity can adapt these models to develop a functional model that can accurately incorporate intervention related to exchange rate fluctuations into a futures volatility model that works to effectively hedge each entity's particular needs and constraints.

Outline:
Abstract
Garch Modeling
Durban-Watson
Omega Function in Modelling

From the Paper:

"Predicting, managing, and leveraging the uncertainty in futures market is however vital if a comprehensive market strategy is going to be developed that enables an entity to efficiently control, or at least manage, the cost-basis of its investments or operating expenses. GARCH techniques can be used to construct models that control, to some degree, conditional variances related to futures as well as spot market prices and allow better management of financial or commodities portfolios."

Tags: volatility management commodities investment

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