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Do Technical Trading Rules Generate Profits?
Do Technical Trading Rules Generate Profits?

... the existence of profit-making rules might be explained by the more complex, nonlinear dynamics observed in foreign exchange rates (Hsieh, 1989; Guillaume et al., 1995). Second, it is not necessarily true that sufficient fundamental traders willing or able to take speculative positions against those ...
DOC - Europa.eu
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... €6 billion annual turnover to €90 billion. According to analysts, it is expected to continue to grow tenfold by the turn of the decade. As the market grows, the coverage by financial market rules will provide a comprehensive regulatory framework that will still be adaptable to carbon market specific ...
Securities Lending in the Emerging Markets
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... Participants in futures market include market intermediaries in the physical market, like, producers, processors, manufacturers, exporters, importers, bulk consumers etc., besides speculators. There is difference between speculation and gambling. Therefore futures markets are not “satta markets”. Wh ...
Optimizing Aggressiveness in Stock Trading Simulations
Optimizing Aggressiveness in Stock Trading Simulations

... parameters are randomized far beyond the preset small ranges, thus making it possible to explore the whole parameter search space. At the same time, Monte Carlo simulation was applied in the model to achieve the best result with the minimal number of simulation rounds. Learning and Interaction In AB ...
The floating Greeks
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Paying for Market Quality
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Fin432_gj_ch2

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Chapter 3: How Securities Are Traded
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IOSCO analyzes potential of tech-driven change in the securities
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The incumbent presentation shall attempt to delineate

... possession of microdata to a full extent that might provide us with a more complete picture as to the grounding of our assumption, notwithstanding the fact that such data is normally hard to obtain. Given the above, our understanding is that we have to view the issue of collective behaviour from an ...
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Multimarket Trading and Market Liquidity Author(s): Bhagwan

... fourth markets" in some stocks. Also, there often exist active markets in derivative securities, such as futures and options. An investor with private information about a stock could trade, for example, on one or more exchanges on which the stock is listed, while simultaneously trading in off-the-ex ...
SP92: The Equivalence of Screen Based Continuous-Auction and Dealer Markets
SP92: The Equivalence of Screen Based Continuous-Auction and Dealer Markets

... There appears to be three differences between auction and dealer markets: (i) A dealer market has one or more intermediaries who quotes prices and take a position in the stock, whereas a continuous-auction market has no formally specified intermediary. On the other hand auction markets may feature t ...
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High-frequency trading

High-frequency trading (HFT) is a type of algorithmic trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data[1] and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, specialized order types, co-location, very short-term investment horizons, and high cancellation rates of orders. HFT can be viewed as a primary form of algorithmic trading in finance. Specifically, it is the use of sophisticated technological tools and computer algorithms to rapidly trade securities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second. It is estimated that as of 2009, HFT accounted for 60-73% of all US equity trading volume, with that number falling to approximately 50% in 2012.High-frequency traders move in and out of short-term positions at high volumes and high speeds aiming to capture sometimes a fraction of a cent in profit on every trade. HFT firms do not consume significant amounts of capital, accumulate positions or hold their portfolios overnight. As a result, HFT has a potential Sharpe ratio (a measure of reward to risk) tens of times higher than traditional buy-and-hold strategies. High-frequency traders typically compete against other HFTs, rather than long-term investors. HFT firms make up the low margins with incredibly high volumes of trades, frequently numbering in the millions.It has been argued that a core incentive in much of the technological development behind high-frequency trading is essentially front running, in which the varying delays in the propagation of orders is taken advantage of by those who have earlier access to information.A substantial body of research argues that HFT and electronic trading pose new types of challenges to the financial system. Algorithmic and high-frequency traders were both found to have contributed to volatility in the Flash Crash of May 6, 2010, when high-frequency liquidity providers rapidly withdrew from the market. Several European countries have proposed curtailing or banning HFT due to concerns about volatility. Other complaints against HFT include the argument that some HFT firms scrape profits from investors when index funds rebalance their portfolios.
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