Home
|
The Society
|
Membership
|
Board of Directors
|
Multinational Finance Journal
|
Annual Conferences
Search
Date Range
in
Title
Author
Abstract
Full Text
Keywords
All Years
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
to:
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
Forthcoming Articles
Published Articles
Volume 28 (2024)
Volume 28, Numbers 3 & 4
38-75 (September/December 2024)
Volume 28, Numbers 1 & 2
Pages 1-37 (March/June 2018)
Volume 26 (2023)
Volume 27, Numbers 3 & 4
48-66 (September/December 2023)
Volume 27, Numbers 1 & 2
1-47 (March/June 2023)
Volume 26 (2022)
Volume 26, Numbers 3 & 4
27-59 (September/December 2022)
Volume 26, Numbers 1 & 2
1-26 (March/June 2022)
Volume 25 (2021)
Volume 25, Numbers 3 & 4
(September/December 2021)
Volume 25, Numbers 1 & 2
(March/June 2021)
Volume 24 (2020)
Volume 24, Numbers 3 & 4
Pages 119-266 (September/December 2020)
Volume 24, Numbers 1 & 2
Pages 1-117 (March/June 2020)
Volume 23 (2019)
Volume 23, Numbers 3 & 4
Pages 141-272 (September/December 2019)
Volume 23, Numbers 1 & 2
Pages 1-139 (March/June 2019)
Volume 22 (2018)
Volume 22, Numbers 3 & 4
Pages 119-254 (September/December 2018)
Volume 22, Numbers 1 & 2
Pages 1-118 (March/June 2018)
Volume 21 (2017)
Volume 21, Number 4
Pages 211-283 (December 2017)
Volume 21, Number 3
Pages 133-210 (September 2017)
Volume 21, Number 2
Pages 49-132 (June 2017)
Volume 21, Number 1
Pages 1-48 (March 2017)
Volume 20 (2016)
Volume 20, Number 4
Pages 273-354 (December 2016)
Volume 20, Number 3
Pages 181-271 (September 2016)
Volume 20, Number 2
Pages 85-179 (June 2016)
Volume 20, Number 1
Pages 1-83 (March 2016)
Volume 19 (2015)
Volume 19, Number 4
Pages 223-313 (December 2015)
Volume 19, Number 3
Pages 149-221 (September 2015)
Volume 19, Number 2
Pages 77-147 (June 2015)
Volume 19, Number 1
Pages 1-75 (March 2015)
Volume 18 (2014)
Volume 18, Numbers 3 & 4
Pages 169-336 (September/December 2014)
Volume 18, Numbers 1 & 2
Pages 1-167 (March/June 2014)
Volume 17 (2013)
Volume 17, Numbers 3 & 4
Pages 149-369 (September/December 2013)
Volume 17, Numbers 1 & 2
Pages 1-148 (March/June 2013)
Volume 16 (2012)
Volume 16, Numbers 3 & 4
Pages 155-301 (September/December 2012)
Volume 16, Numbers 1 & 2
Pages 1-154 (March/June 2012)
Volume 15 (2011)
Volume 15, Numbers 3 & 4
Pages 157-296 (September/December 2011)
Volume 15, Numbers 1 & 2
Pages 1-156 (March/June 2011)
Volume 14 (2010)
Volume 14, Numbers 3 & 4
Pages 153-317 (September/December 2010)
Volume 14, Numbers 1 & 2
Pages 1-151 (March/June 2010)
Volume 13 (2009)
Volume 13, Numbers 3 & 4
Pages 155-321 (September/December 2009)
Volume 13, Numbers 1 & 2
Pages 1-154 (March/June 2009)
Volume 12 (2008)
Volume 12, Numbers 3 & 4
Pages 157-312 (September/December 2008)
Volume 12, Numbers 1 & 2
Pages 1-155 (March/June 2008)
Volume 11 (2007)
Volume 11, Numbers 3 & 4
Pages 157-322 (September/December 2007)
Volume 11, Numbers 1 & 2
Pages 1-156 (March/June 2007)
Volume 10 (2006)
Volume 10, Numbers 3 & 4
Pages 153-305 (September/December 2006)
Volume 10, Numbers 1 & 2
Pages 1-151 (March/June 2006)
Volume 9 (2005)
Volume 9, Numbers 3 & 4
Pages 131-269 (September/December 2005)
Volume 9, Numbers 1 & 2
Pages 1-130 (March/June 2005)
Volume 8 (2004)
Volume 8, Numbers 3 & 4
Pages 141-274 (September/December 2004)
Volume 8, Numbers 1 & 2
Pages 1-139 (March/June 2004)
Volume 7 (2003)
Volume 7, Numbers 3 & 4
Pages 107-230 (September/December 2003)
Volume 7, Numbers 1 & 2
Pages 1-106 (March/June 2003)
Volume 6 (2002)
Volume 6, Numbers 3 & 4
Pages 131-258 (September/December 2002)
Volume 6, Number 2
Pages 65-130 (June 2002)
Volume 6, Number 1
Pages 1-63 (March 2002)
Volume 5 (2001)
Volume 5, Number 4
Pages 225-311 (December 2001)
Volume 5, Number 3
Pages 155-224 (September 2001)
Volume 5, Number 2
Pages 87-154 (June 2001)
Volume 5, Number 1
Pages 1-86 (March 2001)
Volume 4 (2000)
Volume 4, Numbers 3 & 4
Pages 159-288 (September/December 2000)
Volume 4, Numbers 1 & 2
Pages 5-153 (March/June 2000)
Volume 3 (1999)
Volume 3, Number 4
Pages 223-282 (December 1999)
Volume 3, Number 3
Pages 147-221 (September 1999)
Volume 3, Number 2
Pages 71-145 (June 1999)
Volume 3, Number 1
Pages 1-70 (March 1999)
Volume 2 (1998)
Volume 2, Number 4
Pages 245-310 (December 1998)
Volume 2, Number 3
Pages 167-244 (September 1998)
Volume 2, Number 2
Pages 85-165 (June 1998)
Volume 2, Number 1
Pages 1-83 (March 1998)
Volume 1 (1997)
Volume 1, Number 4
Pages 255-324 (December 1997)
Volume 1, Number 3
Pages 169-254 (September 1997)
Volume 1, Number 2
Pages 93-168 (June 1997)
Volume 1, Number 1
Pages 1-80 (March 1997)
Forthcoming Articles
()
General Information
()
Published Articles By Year
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
1997 - 2025
Volume 7, Numbers 1 & 2 / March/June 2003 , Pages 1-106
Download Article 767.14 Kb
A Coupling of Extreme-Value Theory and Volatility Updating with Value-at-Risk Estimation in Emerging Markets: A South African Test
Multinational Finance Journal, 2003, vol. 7, no. 1 & 2 , pp. 3-23 |
https://doi.org/10.17578/7-1/2-1
Anthony J. Seymour
, University of Cape Town, South Africa
Corresponding Author
Email: n/a
Daniel A. Polakow
, University of Cape Town and Cadiz Holdings, South Africa
Abstract:
This research is aimed at a formal appraisal of recent advancements in stochastic volatility modeling and extreme-value theory to application of value-at- risk computation in particularly volatile markets. Established methods such as historical simulation are prone to underestimating value-at-risk in such developing markets. Two contemporary methods of value-at-risk calculation are tested on a representative portfolio of South African stocks. The first method incorporates extreme value theory. The second model includes both extreme value theory and volatility updating (via GARCH-type modeling). The combined GARCH-type time-series approach and extreme value theory model is found to provide significantly better results than both straightforward historical simulation as well as the extreme value model. In no instance, however, were results on these VaR methods as good as those obtained when the same methods were tested in developed markets. This research highlights noteworthy improvements to value-at-risk estimation efficacy in volatile emerging markets, and also stresses the need for further work into the estimation of value-at-risk in this context.
Keywords : backtesting; extreme value theory; GARCH, historical simulation; RiskMetrics; value-at-risk
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 1.2 Mb
A Hedging Strategy for New Zealand’s Exporters in Transaction Exposure to Currency Risk
Multinational Finance Journal, 2003, vol. 7, no. 1&2, pp. 25-54 |
https://doi.org/10.17578/7-1/2-2
Kam Fong Chan
, University of Queensland, Australia
Corresponding Author
Email: k.chan@business.uq.edu.au
Christopher Gan
, Lincoln University, New Zealand
Patricia A. McGraw
, Lincoln University, New Zealand
Abstract:
A survey on derivative usage and financial risk management in New Zealand shows that the currency forward is the most frequently used derivatives in hedging transaction exposure. This paper examines whether forwards performs better than over-the-counter option for a New Zealand exporter in hedging NZD/USD transaction exposure. This research adopts H sin, Kuo and Lee’s (1994) model of hedging effectiveness which maximizes the exporter’s expected negative exponential utility function to compare and evaluate the ex-ante hedging effectiveness of both forwards and options synthetic forwards. The results show that prior to the 1997 Asian Crisis, forwards are marginally more effective than options synthetic forwards for an ordinary risk-averse exp orter to hedge against her/his 1, 3, 6 and 12-month transaction exposures. However, during and after the 1997 Asian Crisis, options synthetic forwards are more effective than forwards for hedging exposures of 1, 3 and 6 months. The results are robust to the exporter’s degree of absolute risk aversion.
Keywords : forwards; hedging effectiveness; optimal hedge ratio; options synthetic forwards; utility maximization
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 1.18 Mb
The Performance of Analytical Approximations for the Computation of Asian Quanto-Basket Option Prices
Multinational Finance Journal, 2003, vol. 7, no. 1 & 2 , pp. 55-82 |
https://doi.org/10.17578/7-1/2-3
Jean-Yves Datey
, Comission Scolaire de Montréal, Canada
Corresponding Author
Email: n/a
Geneviève Gauthier
, HEC Montréal, Canada
Jean-Guy Simonato
, HEC Montréal, Canada
Abstract:
An option contract now commonly encountered is the Asian quanto-basket option. This contract is useful for risk managers willing to participate to the return of an industrial sector with an international exposure without the foreign exchange risk exposition. Although the price of such contracts can be obtained very accurately using Monte Carlo simulation, market participants prefer faster but less accurate analytical approximations. This paper thus examines the precision of three different analytical approximations available to price Asian quanto-basket options. The results of a comprehensive simulation experiment performed on a large test pool of option contracts reveal that the approximations based on the reciprocal gamma and Johnson-type densities are in general the most accurate.
Keywords : analytical approximation; Asian option; basket option; option pricing; quanto option
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 80.64 Kb
An Empirical Study of Portfolio Selection for Optimally Hedged Portfolios
Multinational Finance Journal, 2003, vol. 7, no. 1&2, pp. 83-106 |
https://doi.org/10.17578/7-1/2-4
C. J. Adcock
, The University of Sheffield, UK
Corresponding Author
Email: c.j.adcock@shef.ac.uk
Abstract:
This paper reports a study into the performance of currency-hedged portfolios constructed using mean-variance optimization methods. The method is to carry out optimization relative to a benchmark portfolio, which consists of the real assets, and simultaneously to determine the optimal exposures to each currency future. This is done at various levels of risk along the efficient frontier. A study into a portfolio of international stock and bond indices viewed from a US Dollar perspective indicates that, for the period studied, optimal currency hedging has the potential to add value in terms of additional expected return and excess return on a risk-adjusted basis. The results also demonstrate the superiority of strategies in which the hedge ratio is optimally determined over those with a fixed hedge ratio.
Keywords : exchange rate risk; currency hedging; mean-variance optimization
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Copyright © 2010. All rights reserved. Multinational Finace Society. Design and Development by:
Exarsis Business Solutions Ltd.
This work is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License
.