May
30
The Hong Kong Stock Market, from Victor Niederhoffer
May 30, 2016 |
It is interesting to me to look at the Hong Kong stock market. It trades 2 billion shares a day with the average price of a share being 50 Hong Kong dollars, equal to 6.5 US dollars, thus 13 billion $US a day. This compares to a good US volume day in 1964 if 5 million US with an average price of 30 or $150 Million a day.
One used to use the volume of Amex to volume of NYSE as an indicator of market volatility and 30% was a high figure that occurred once or twice a year. One also notes Hong Kong started at 100 in 1964 and is now 22,000. Dividends at 4%. A good Dimsonian run.
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enjoy this website very much, pls tell us a bit more about the market, thanks !
V,
Where does the path to automation appear here…?
—–
“David Webb, independent non-executive director of the Exchange since 2003, has been arguing for a super regulatory authority to assume that role as regulator, as there is inherent conflict between its commercial and regulatory roles. In the meantime, he argues for improved investor representation on the Hong Kong Stock Exchange.
In 2007, the uproar by smaller local stockbrokers over the decision by board of directors to cut minimum trading spreads for equities and warrants trading at between 25 HK cents and HK$2 caused the new board to vote to reverse the decision. The reforms were to be implemented in the first quarter, but was put back on the table following protests by brokers. Webb criticised the board for caving in to vested interests.[14]
—–
The exchange first introduced a computer-assisted trading system on 2 April 1986.[12] In 1993 the exchange launched the “Automatic Order Matching and Execution System” (AMS), which was replaced by the third generation system (AMS/3) in October 2000.[13]”
https://en.wikipedia.org/wiki/Hong_Kong_Stock_Exchange
Of interest…
Stanley Kwan, a banker whose 1969 creation, the Hang Seng index, became a widely used gauge for the Hong Kong Stock Exchange, died on Dec. 31 in Toronto. He was 86.
His death was confirmed by the R. S. Kane Funeral Home.
The Hang Seng index is “the ultimate capitalist measure of Hong Kong,” Robert Nield, president of the Hong Kong branch of the Royal Asiatic Society, wrote in a foreword to Mr. Kwan’s 2008 book, “The Dragon and the Crown: Hong Kong Memoirs.”
Mr. Kwan, who joined Hang Seng Bank in 1962, saw the index he created mirror the growth pains of Hong Kong. It crashed during the 1974 world oil crisis and the 1983 impasse between China and Britain over the handover of Hong Kong, and it benefited from the opening up of the Chinese mainland.
The index’s 48 members now include Industrial and Commercial Bank of China, the world’s largest lender by market value, and the PetroChina Company, Asia’s biggest company by market value.
As Mr. Kwan recalled in his book, the bank’s chairman, Ho Sin Hang, and general manager, Q. W. Lee, decided late in 1969 “that they needed a measure of the performance of the stock market for their own as well as their customers’ reference.” Mr. Ho, he said, spoke of creating the “Dow Jones industrial average of Hong Kong.”
Mr. Kwan, who headed the bank’s research department, worked with a staff of seven to create the Hang Seng index and consulted government and university statisticians and economists. The index made its debut on Nov. 24, 1969.
Stanley Shih Kuang Kwan was born on Jan. 10, 1925, in Hong Kong to a banking family, according to the funeral home. A survivor of the Japanese occupation of Hong Kong during World War II, he was a wartime interpreter for United States troops in mainland China before starting his banking career.
His survivors include two daughters.
Mr. Kwan, who retired to Canada, was humble about his place in history.
“If I walked into the Hang Seng Bank head office today,” he told The Toronto Star in 2010, “no one would know me.”
http://www.nytimes.com/2012/01/11/business/global/stanley-kwan-hang-seng-index-creator-dies-at-86.html?_r=0
—–
For purposes of modeling, how does one distinguish Webb’s rules-based agenda and Kwan’s “needed a measure of the performance of the stock market” to automation trends from 5 to 75%+ both there and here?
Is there a sucker for linear modeling or merely the dragon of quantitative ballyhoo?
dr