Posts Tagged ‘HF Data

26
Jul
11

Paper: Hedge Funds, exposiciones, riesgos

On the High-Frequency Dynamics of Hedge Fund Risk Exposures

Abstract: 
We propose a new method to model hedge fund risk exposures using relatively high frequency conditioning variables. In a large sample of funds, we find substantial evidence that hedge fund risk exposures vary across and within months, and that capturing within-month variation is more important for hedge funds than for mutual funds. We consider different within-month functional forms, and uncover patterns such as day-of-the-month variation in risk exposures. We also find that changes in portfolio allocations, rather than changes in the risk exposures of the underlying assets, are the main drivers of hedge funds’ risk exposure variation.

Link al Paper

22
Mar
11

Gráfico du Jour: HFT Bots

(Fuente: SEC, via WSJ)

02
Mar
11

Paper: Modelos HFT

Developing High-Frequency Equities Trading Models

Link al Paper

____________________________

UPDATE

Llegamos a este paper via Quantivity, uno de los co-autores es un argentino suelto en NY, esperamos que cuando este en Buenos Aires y tenga tiempo nos pueda presentar su trabajo sobre HFT.

21
Feb
11

Paper: Flash Crash, el impacto del HFT

The Flash Crash: The Impact of High Frequency Trading on an Electronic Market

Abstract:
The Flash Crash, a brief period of extreme market volatility on May 6, 2010 raised questions about the current structure of the U.S. financial markets. We use audit-trail data to describe the structure of the E-mini S&P 500 stock index futures market on May 6. We ask three questions. How did High Frequency Traders (HFTs) trade on May 6? What may have triggered the Flash Crash? What role did HFTs play in the Flash Crash? We conclude that HFTs did not trigger the Flash Crash, but their responses to the unusually large selling pressure on that day exacerbated market volatility.

Link al Paper

06
Oct
10

Gráfico du Jour: HFT en el tiempo

(Fuente: JP Morgan, via FT Alphaville)

18
Sep
10

Paper: HFT y su impacto

High Frequency Trading and its Impact on Market Quality

Abstract:
This paper examines the impact of high frequency traders (HFTs) on equities markets. I analyze a unique data set to study the strategies utilized by HFTs, their profitability, and their relationship with characteristics of the overall market, including liquidity, price efficiency, and volatility. I find that in my sample HFTs participate in 77% of all trades and that they tend to engage in a price-reversal strategy. I find no evidence suggesting HFTs withdraw from markets in bad times or that they engage in abnormal front-running of large non-HFTs trades. The 26 high frequency trading (HFT) firms in the sample earn approximately $3 billion in profits annually. HFTs demand liquidity for 50.4% of all trades and supply liquidity for 51.4% of all trades. HFTs tend to demand liquidity in smaller amounts, and trades before and after a HFT demanded trade occur more quickly than other trades. HFTs provide the inside quotes approximately 50% of the time. In addition if HFTs were not part of the market, the average trade of 100 shares would result in a price movement of $.013 more than it currently does, while a trade of 1000 shares would cause the price to move an additional $.056. HFTs are an integral part of the price discovery process and price efficiency. Utilizing a variety of measures introduced by Hasbrouck (1991a, 1991b, 1995), I show that HFTs trades and quotes contribute more to price discovery than do non-HFTs activity. Finally, HFT reduces volatility. By constructing a hypothetical alternative price path that removes HFTs from the market, I show that the volatility of stocks is roughly unchanged when HFT initiated trades are eliminated and significantly higher when all types of HFT trades are removed.

Link al Paper

14
Jul
10

Paper: HFT y la microestructura del mercado

Is high-frequency trading inducing changes inmarket microstructure and dynamics?

Abstract
Using high-frequency time series of stock prices and share volumes sizes from January 2002-May 2009, this paper investigates whether the effects of the onset of high-frequency trading, most prominent since 2005, are apparent in the dynamics of the dollar traded volume. Indeed it is found in almost all of 14 heavily traded stocks, that there has been an increase in the Hurst exponent of dollar traded volume from Gaussian noise in the earlier years to more self-similar dynamics in later years. This shift is linked both temporally to the Reg NMS reforms allowing high-frequency trading to flourish as well as to the declining average size of trades with smaller trades showing markedly higher degrees of self-similarity.
Link al Paper




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