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To answer your question consider the following example using actual prices for SPY ETF on 7/31/15: "hopey.netfonds.no" By looking at the last 19 trades that occurred at the very last second, you will see a notable price movement on prices. If you go to Google/Yahoo Finance the Closing Price for the ETF is 210.50 (largest trade at the close?) but the very ...


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Most literature focus on comparing fund returns using a model alpha. A good overview is: Cahart (1997) and Berk and Binsbergen (2015). Basically you regress the fund returns on most common used factors (market return, HML, SMB, Liquidity and Momentum factors) and compare alphas after fees.


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The round-trip latency from point A to a matching engine at point B can be thought of being comprised of two components: $RTT_{total,A \rightarrow B} = RTT_{network\_transit,A \rightarrow B} + MPL_{matching\_engine,B}$ Where $RTT$ is the round-trip time and $MPL$ is the message processing latency (how long it takes to receive a message and produce an ...


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I'm no expert in this topic, but I'm not sure people will be willing to share this kind of data openly, given a lot of HFT shops use such "trade secrets" to gain a competitive edge. Incidentally, I've been reading the book "Flash Boys" and there are some numbers related to your query in there. For instance, when you submit a trade from downtown Manhattan, it ...


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Assuming you are not doing HFT, seconds scale, then you could measure it. By placing a limit order and then monitoring its appearance in Level 2 market depth quotes. During quiet market, with limit price away from spread and not crowded.


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If you have a friend studying at almost any university you can get access to WRDS. Inside WRDS just go to Compustat which has all the info you need for dates since 1950.


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There are two mainly (good) free sources available online: wolphramalpha.com Quandl They report the mainly market and fundamental data, so you will not find any particular fundamental accounting ratio. In the case you need particular ratio or data, you should get some better financial data provider, as, for instance, Bloomberg or Thompson Reuters.



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