Abstract:Within four months of the stock market crash on October 19, 1987, there were six studies of what happened. The Brady Commission, the Commodity Futures Trading Commission, the Securities and Exchange Commission, the General Accounting Office, the New York Stock Exchange, and the Chicago Mercantile Exchange all produced reports that described and analyzed the Crash, and in some cases made recommendations for additional regulation. This paper examines the conclusions and analyses contained in these reports and pr… Show more
“…Better estimates of the cash index can possibly provide a more realistic picture of the difference between stock and futures values. Our results complement previous studies that have attempted to estimate the value of stock index futures on the days around the crash; see Edwards (1989) for a review of the government reports on the crash, Harris (1989) for analysis of the S&P 500 contract, Blume et al (1989), who examine pricing anomalies on Monday and Tuesday, and Bassett, France and Pliska (1989) for analysis of the MMI cash-futures spread on Monday.…”
Abstract. The Kalman filter is proposed as a method for estimating the value of nontrading securities during periods when other securities are trading. The method also provides confidence intervals that indicate the degree of uncertainty regarding estimated value. The method is applied to the Major Market Index during the principal days of the 1987 stock market crash. Our results indicate that nonsynchronous trading explains a small but significant portion of the cash-futures spread that prevailed during these days.
“…Better estimates of the cash index can possibly provide a more realistic picture of the difference between stock and futures values. Our results complement previous studies that have attempted to estimate the value of stock index futures on the days around the crash; see Edwards (1989) for a review of the government reports on the crash, Harris (1989) for analysis of the S&P 500 contract, Blume et al (1989), who examine pricing anomalies on Monday and Tuesday, and Bassett, France and Pliska (1989) for analysis of the MMI cash-futures spread on Monday.…”
Abstract. The Kalman filter is proposed as a method for estimating the value of nontrading securities during periods when other securities are trading. The method also provides confidence intervals that indicate the degree of uncertainty regarding estimated value. The method is applied to the Major Market Index during the principal days of the 1987 stock market crash. Our results indicate that nonsynchronous trading explains a small but significant portion of the cash-futures spread that prevailed during these days.
“…However, both Bacha and Vila (1994), which employs the underlying stock index, and Chang et al (1999), which uses the underlying component stocks, find no change in price volatility in the underlying market around the SIMEX listing of the Nikkei 225 futures on September 3, 1986, while differing in the price volatility effect around the OSE listing. Similarly, Edwards (1988) and Kupiec (1998) dismiss the role played by derivative contracts in the 1987 market crash.…”
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