The Egyptian Stock Market : Efficiency Tests and Volatility Effects /

The paper examines the behavior of stock returns in the Egyptian stock exchange, the efficiency of the market in pricing securities, and the relationship between returns and conditional volatility. GARCH(p,q)-M models estimated for the four best known daily indices indicate significant departures fr...

詳細記述

書誌詳細
第一著者: Mecagni, Mauro
その他の著者: Sawky Sourial, Maged
フォーマット: 雑誌
言語:English
出版事項: Washington, D.C. : International Monetary Fund, 1999.
シリーズ:IMF Working Papers; Working Paper ; No. 1999/048
オンライン・アクセス:Full text available on IMF
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020 |z 9781451846720 
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100 1 |a Mecagni, Mauro. 
245 1 4 |a The Egyptian Stock Market :   |b Efficiency Tests and Volatility Effects /  |c Mauro Mecagni, Maged Sawky Sourial. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 1999. 
300 |a 1 online resource (30 pages) 
490 1 |a IMF Working Papers 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a The paper examines the behavior of stock returns in the Egyptian stock exchange, the efficiency of the market in pricing securities, and the relationship between returns and conditional volatility. GARCH(p,q)-M models estimated for the four best known daily indices indicate significant departures from the efficient market hypothesis; the tendency for returns to exhibit volatility clustering; and a significant positive link between risk and returns, which was significantly affected during the market downturn that followed the introduction of circuit breakers in the form of symmetric price limits on individual shares. 
538 |a Mode of access: Internet 
700 1 |a Sawky Sourial, Maged. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 1999/048 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/1999/048/001.1999.issue-048-en.xml  |z IMF e-Library