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 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 15, Numbers 1 & 2 / March/June 2011 , Pages 1-156
Download Article 92.54 Kb
Was there Abnormal Trading in the S&P 500 Index Options Prior to the September 11 Attacks?
Multinational Finance Journal, 2011, vol. 15, no. 1/2, pp. 1-46 |
https://doi.org/10.17578/15-1/2-1
Wing-Keung Wong
, Hong Kong Baptist University, Hong Kong
Corresponding Author
Email: awong@hkbu.edu.hk
Howard Thompson
, University of Wisconsin-Madison, USA
Kweehong Teh
, National University of Singapore, Singapore
Abstract:
After the September 11 attacks, several major newswires reported that there were insiders who tried to profiteer from the options market in anticipation of the event. We use the Student's t-statistics and several non-parametric statistics to test whether there was abnormal trading in S&P 500 (SPX) index options prior to the September 11 attacks. Our findings from the out-of-the-money (OTM), at-the-money (ATM) and in-the-money (ITM) SPX index put options and ITM SPX index call options lead us to reject the null hypothesis that there was no abnormal trading in these contracts prior to the September 11 attacks. We also find evidence consistent with three bearish speculation strategies, namely the Put Purchase strategy, the Put Bear Spread strategy, and the Naked ITM Call Write strategy. In addition, we conclude that there is evidence of abnormal trading in the September 2001 OTM, ATM and ITM SPX index put options immediately after the 9-11 attacks.
Keywords : 9-11 attacks; put options; call options; SPX index, Student?s t-statistics; non-parametric statistics
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 72.19 Kb
Heterogeneous Basket Options Pricing Using Analytical Approximations
Multinational Finance Journal, 2011, vol. 15, no. 1/2, pp. 47-85 |
https://doi.org/10.17578/15-1/2-2
Georges Dionne
, HEC Montreal, Canada
Corresponding Author
Email: georges.dionne@hec.ca
Genevieve Gauthier
, HEC Montreal, Canada
Nadia Ouertani
, LEFA, ISCAE Manouba University, Tunisia
Nabil Tahani
, York University, Canada
Abstract:
This paper proposes the use of analytical approximations to price an heterogeneous basket option combining commodity prices, foreign currencies and zero-coupon bonds. The performance of three moment matching approximations is examined: inverse gamma, Edgeworth expansion around the lognormal and Johnson family distributions. Since there is no closed-form formula for basket options, Monte Carlo simulations are carried out to generate the benchmark values. A simulation experiment on a set of options based on a random choice of parameters is performed. The results show that the Edgeworth-lognormal and Johnson distributions give the most accurate results.
Keywords : Basket Options; Options Pricing; Analytical Approximations; Monte Carlo Simulation
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 88.61 Kb
The Role of Realised Volatility in the Athens Stock Exchange
Multinational Finance Journal, 2011, vol. 15, no. 1/2, pp. 87-124 |
https://doi.org/10.17578/15-1/2-3
Dimitrios D. Thomakos
, University of Peloponnese, Greece Rimini Centre for Economic Analysis, Italy
Corresponding Author
Email: dimitrios.thomakos@gmail.com
Michail S. Koubouros
, City College and University of Liverpool, UK
Abstract:
Using a newly developed dataset of daily, value-weighted market returns we construct and analyze the monthly realized volatility of the Athens Stock Exchange (A.S.E.) from 1985 to 2003. Our analysis focuses on the distributional and time series properties of the realized volatility series and on assessing the connection between realized volatility and returns through a multi-factor asset pricing model. In particular, we find strong evidence on the existence of a volatility feedback effect and a leverage effect, and on the existence of asymmetries between lagged returns and volatility. Furthermore, we examine the cross-sectional distribution of unconditional loadings on the realized risk factor(s) for different sets of characteristics-sorted common stock portfolios. We find that realized risk is a significantly priced factor in A.S.E. and its high explanatory power for the cross-section of portfolio average returns is independent of any return variation related to the market (CAPM) or size and book-to-market (Fama-French) factors. We discuss our findings in the context of the recent literature on realized volatility and feedback effects, as well as the literature on the pricing power of realized risk.
Keywords : realized volatility; leverage effect; volatility feedback effect; asset pricing; A.S.E
View in Bib TeX Format
View Cite Format 1
View Cite Format 2
Download Article 61.58 Kb
The Predictability of Non-Overlapping Forecasts: Evidence from a New Market
Multinational Finance Journal, 2011, vol. 15, no. 1/2, pp. 125-156 |
https://doi.org/10.17578/15-1/2-4
Manolis G. Kavussanos
, Athens University of Economics and Business, Greece
Corresponding Author
Email: mkavus@aueb.gr
Ilias D. Visvikis
, ALBA Graduate Business School, Greece
Abstract:
This paper investigates the short-run forecasting performance, in the relatively new and fairly unresearched futures market of Greece. Forecasts from univariate (ARIMA) and multivariate (VAR, VECM and SURE-VECM) linear time-series models indicate that cash returns can be more accurately forecasted, for all forecast horizons, when forecast specifications contain information from both lagged cash and futures returns, than from specifications that utilize information only from lagged cash returns. On the other hand, futures return forecasts are not enhanced in accuracy when lagged cash returns are employed for almost all forecasts. This verifies that at almost all forecasting horizons futures returns contain significantly more and different information than that embodied in current cash returns. Moreover, all time-series models generate more accurate cash and futures forecasts than the forecasts obtained by the random walk model.
Keywords : Cointegration; VECM and ARIMA Models; Forecasting; Futures Markets; Emerging Markets; Predictability
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
.