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
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
Forthcoming Articles
Published Articles
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
1997 - 2024
Volume 12, Numbers 1 & 2 / March/June 2008 , Pages 1-155
Download Article 114.53 Kb
Are Forward Exchange Rates Rational Forecasts of Future Spot Rates? An Improved Econometric Analysis for the Major Currencies
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 1-20 |
https://doi.org/10.17578/12-1/2-1
Raj Aggarwal
, University of Akron, U.S.A.
Corresponding Author
Email: aggarwa@uakron.edu
Winston T. Lin
, The State University of New York at Buffalo, U.S.A.
Sunil K. Mohanty
, University of St. Thomas, Minneapolis, U.S.A.
Abstract:
It has been suggested that prior studies that have puzzlingly found forward rates to be inefficient and biased forecasts of future spot rates may be limited by inadequate statistical methodologies. Using an improved statistical methodology that accounts for both non-stationarity and non-normality in exchange rates, we unfortunately reconfirm that U.S. dollar forward rates for horizons ranging from one to twelve months for the British pound, Japanese yen, Swiss franc, and the German mark over the period 1973–1998 are generally not efficient or rational forecasts of future spot rates. However, as one bright spot, we cannot reject efficiency and rationality for the U.S. dollar forward rate for the Canadian dollar.
Keywords : forward rates; rational forecasts
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 95.4 Kb
Firm Investments and Corporate Governance in Asian Emerging Markets
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 21-44 |
https://doi.org/10.17578/12-1/2-2
Tanweer Hasan
, Roosevelt University, U.S.A.
Corresponding Author
Email: thasan@roosevelt.edu
Palani-Rajan Kadapakkam
, University of Texas at San Antonio, U.S.A.
P. C. Kumar
, American University, U.S.A.
Abstract:
The quality of corporate governance has been shown to have wide-ranging implications, e.g., on the performance of stock markets and on exchange rates. This study investigates whether the quality of corporate governance in a country impacts investment decisions made at the micro level of the firm. The study focuses on Asian emerging markets since they have widely varying standards of corporate governance. Based on eight measures of corporate governance, four aggregate indices of corporate governance (business environment, legal environment, investor rights, and an overall measure) are developed for seven countries in the sample drawing on data from published sources. The results indicate that improvements in corporate governance mitigate the dependency of firm investments on their internal resources and facilitate access by firms to capital markets.
Keywords : corporate governance; firm investments; emerging markets; investment-cashflow sensitivity
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 83.33 Kb
A Liquidity Motivated Algorithm for Discerning Trade Direction
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 45-66 |
https://doi.org/10.17578/12-1/2-3
David Michayluk
, University of Technology Sydney, Australia
Corresponding Author
Email: David.Michayluk@uts.edu.au
Laurie Prather
, Bond University, Australia
Abstract:
Most exchanges do not report trade direction thus researchers and traders must deduce whether a trade is buyer or seller initiated since this information is required to evaluate models of bid-ask spread components and to understand the market for immediacy. Algorithms that assign trade direction based on the proximity to bid or ask quotes are easily implemented but ignore information readily discernable from orders, changes in the quoted depth and subsequent price movements. Using the New York Stock Exchange Trades, Orders and Quotes database, systematic biases in existing trade direction algorithms are documented that can be rectified by recognizing that the impact on liquidity is the fundamental characteristic underlying order placement. Although this liquidity-based method is difficult to implement, it more closely captures the actual behavior of market participants.
Keywords : liquidity; trade direction algorithm; TORQ database; order placement
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 308.32 Kb
Value-at-Risk for Greek Stocks
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 67-104 |
https://doi.org/10.17578/12-1/2-4
Timotheos Angelidis
, University of Peloponnese, Greece
Corresponding Author
Email: tangel@uop.gr
Alexandros Benos
, National Bank of Greece, Greece
Abstract:
This paper analyses the application of several volatility models to forecast daily Value-at-Risk (VaR) both for single assets and portfolios. We calculate the VaR number for 4 Greek stocks, 2 portfolios based on these securities and for the Athens Stock Exchange General Index. We model VaR for long and short trading positions by employing non-parametric methods, such as historical and filtered historical simulation, as well as parametric ones. Especially for the later techniques we use a collection of ARCH models (GARCH, EGARCH and TARCH) based on three distributional assumptions (Normal, Student-T and Skewed Student-T), while we combine the Extreme Value Theory with a volatility updating technique (via GARCH type-modeling). In order to choose one model among the various forecasting methods, we employ a two-stage backtesting procedure. In the first one, we implement two backtesting criteria (unconditional and conditional coverage) to test the statistical accuracy of the models.
Keywords : value-at-risk,; GARCH; historical simulation; backtesting
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 104.51 Kb
Equity Market Price Interactions Between China and the Other Markets Within the Chinese States Equity Markets
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 105-126 |
https://doi.org/10.17578/12-1/2-5
Gary Tian Gang
, Tian University of Wollongong, Australia
Corresponding Author
Email: gary_tian@uow.edu.au
Abstract:
This study examines the cointegrating and long-term causal relationships of equity market prices in equity markets of Chinese states namely, Shanghai, Shenzhen, Hong Kong, Taiwan and Singapore. I cover the period between October 5, 1992 and March 20, 2006, taking into account both the Asian financial crisis and the opening-up of China’s equity markets in recent years. First, I analysis the cointegration by utilizing Johansen’s (1988) cointegration tests. I find that a long-term equilibrium relationship measured by cointegration has been established among Shanghai, Shenzhen, Hong Kong and Taiwanese markets and, to a lesser degree, between these markets and the Singapore market since 1998. Secondly, this study examines causality by exploring the bootstrapped Toda-Yamamoto non-causality tests. I find that there is strong evidence of a bi-directional causality between Shanghai and Shenzhen markets after 1998. Furthermore, I also find that there are more causal linkages between the Chinese states equity markets: two mainland Chinese markets, Hong Kong, Taiwan, and Singapore became more dependent on each other. The robustness of the above findings is confirmed by the use of a bootstrap test employed to test the validity of my results.
Keywords : international financial markets; causality testing in VaRs with bootstrapping; cointegration
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 145.72 Kb
Higher-Order Terms in Bivariate Returns to International Stock Market Indices
Multinational Finance Journal, 2008, vol. 12, no. 1/2, pp. 127-155 |
https://doi.org/10.17578/12-1/2-6
Kirt C. Butler
, Michigan State University, U.S.A.
Corresponding Author
Email: butler@bus.msu.edu
Katsushi Okada
, Michigan State University, U.S.A.
Abstract:
This article documents the stochastic properties of bivariate returns to international stock market indices. In particular, the article searches for the best fit among a class of higher-order VARMA(u,v)-EGARCH(p,q) models with normal errors and a constant conditional correlation using MSCI domestic and world-ex-domestic index pairs for the Emu, Japan, the United Kingdom, and the United States. Although a first-order VAR or VMA specification is sufficient to accommodate the conditional means, second-order EGARCH terms are necessary in two of the four bivariate series
Keywords : higher-order; bivariate; international diversification; EGARCH; VARMA
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
.