DAILY RETURN RELATIONSHIPS AMONG ASIAN STOCK MARKETS
DAILY RETURN RELATIONSHIPS AMONG ASIAN STOCK MARKETS
复制标题
亚洲股市每日回报关系
DOI:
10.1111/j.1468-5957.1990.tb00560.x
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发表时间:
1990
影响因子:
2.9
通讯作者:
Mark V. Swankoski
中科院分区:
文献类型:
--
作者:
Insup Lee;R. Pettit;Mark V. Swankoski
Most studies of price changes on speculative markets offer results that are consistent with a process where the level of flow of information changes over time. The end result of this process is that returns, measured over a constant time interval, mix any number of approximately normal distributions.’Moreover, computed means and variances of returns would differ depending on the intensity and nature of the information generating process occurring at the time of measurement. Little in the literature dealing with financial information, however, suggests that the flow of information, and the market’s response to that information, should be closely tied to the day of the week on which it arrives.Nevertheless, recent studies of some of the world’s major stock, bond, and foreign exchange markets have discovered important ‘seasonal’variations in the parameters of return distributions-especially mean returns (Board and Sutcliffe, 1988; Condoyanni, O’Hanlon and Ward, 1987; Cross, 1973; French, 1980; Gibbons and Hess, 1981; Keim and Stambaugh, 1984; Jaffe and Westerfield, 1985a and 1985b; and McFarland, Pettit, and Sung, 1982). These studies found that returns on Mondays and Fridays have been statistically different from each other, and sometimes different from the returns on other days of the week. Explanations of these tendencies have concentrated on settlement practices and dividend payment patterns in these markets, but the insights provided by these theories have been rather weak. In particular, dayof-the-week effects were rather uniform across the markets, in spite of wide variations in settlement practices and dividend payment patterns. This study is devoted to determining if day-of-the-week patterns exist in a sample of the most important of the world’s ‘second tier’stock markets-such as those in Hong Kong and Korea. Specifically, we look at univariate statistics that help characterize return distributions in a given market, as well as multivariate statistics that measure relationships existing between markets. Estimates of multivariate relationships, based on day-of-the-week data, are not common, but are important to describing the underlying return generating process in the world’s financial system. The rationale for the investigation comes from two sources. First, there is
影响因子:
8
作者:
Narasimhan Jegadeesh
通讯作者:
Narasimhan Jegadeesh
影响因子:
8.2
作者:
Lakonishok, Josef;Smidt, Seymour
通讯作者:
Smidt, Seymour