Wavelet Estimation of Asymmetric Hedge Ratios: Does Econometric Sophistication Boost Hedging Effectiveness?
AbstractThis paper utilises wavelet analysis, which is becoming popular in economics and finance, to estimate the hedge ratios for spot positions on the West Texas Intermediate crude oil, soybeans and the S&P500 index. This technique is combined with a two-stage regime switching threshold model to estimate asymmetric hedge ratios corresponding to positive and negative returns on futures contracts. Other simple and sophisticated techniques are also used as a benchmark for the purpose of comparison, including the naive model and the asymmetric error correction GJR-GARCH model. On the basis of the variance ratio test and variance reduction, it is revealed that econometric sophistication does not boost hedging effectiveness.
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Bibliographic InfoArticle provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.
Volume (Year): 7 (2008)
Issue (Month): 3 (December)
asymmetric hedge ratios; variance ratio; variance reduction; wavelets;
Find related papers by JEL classification:
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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NBER Working Papers
6022, National Bureau of Economic Research, Inc.
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- Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 3(1), pages 26-62, December.
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