Abstract—This study used value-at-risk (VaR) to construct
four trading strategies and simultaneously applied seven
indicators to assess the suitability of the model for Taiwan Eight
industries Index. To estimate the VaR, we employed three
models, including the exponentially weighted moving average
(EWMA), generalized autoregressive conditional
heteroskedasticity (GARCH), and the Monte Carlo model, to
construct suitable model parameters. Our results showed that 1)
the optimum VaR model for the expansion and contraction
periods of the various share indices presented significant
differences in suitability and model parameters; 2) the
construction of trading strategies using downside VaR can be
applied to the Taiwan Eight Industries Index; 3) a comparison
of the three models regarding their suitability for the eight
industries index indicated that EWMA (75%) and Monte Carlo
(25%) are applicable to a bull market, and EWMA (37.5%),
GARCH (37.5%), and Monte Carlo (25%) are applicable to a
bear market; and 4) the proposed moving daily VaR (MDV)
trading strategy shows that although the return rate of bull
periods is lower than the return rate under the buy-and-hold
(BH) strategy, the negative return rate of bear periods is
significantly lower than the return rate under the BH strategy.
Index Terms—Monde Carlo method, EWMA, GARCH,
stock index.
Tai-Yi. Yu and Chia-Lun Hsu are with the Department of Risk
Management and Insurance, Ming Chuan University, Corresponding Author;
250 Zhong Shan N. Rd., Sec. 5, Taipei 111, Taiwan (e-mail:
yutaiyi@gmail.com, qweszxc7410@hotmail.com).
Tai-Kuei Yu is with the Department of Business Administration, National
Quemoy University, 1, University Rd., Jinning, Kinmen 892, Taiwan (e-mail:
yutk2000@gma- il.com, yutk2012@nqu.edu.tw).
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Cite:Tai-Yi Yu, Chia-Lun Hsu, and Tai-Kuei Yu, "Establishment of Trading Strategies with Value-at-Risk
Models," Journal of Economics, Business and Management vol. 2, no. 1, pp. 53-57, 2014.