New answers tagged trading
The opening and closing prices are set during an auction. If there are overnight news, then the opening auction will reflect information which wasn't there during the closing auction. And even without the auctions, the last traded price yesterday results from different orders than the first traded price today.
Major news can come out during the night. Imagine a company declaring bankruptcy or getting wiped off the map because of a natural disaster. Take a look at the weekly opening gaps in futures and currency pairs.
There is trading happening overnight. A nice paper is Dong Lou et. al: http://personal.lse.ac.uk/loud/OvernightMom.pdf They explain the overnight trading and actually document that most known anomalies occur on that period.
The way to do gradual position entry and exit is to use multiple trend following rules, each of which is responsible for managing a part of the available capital. Only if all the trading rules agree will 100% of the capital be deployed. As a simple example, suppose you have three rules. The first rule is based on 10 day momentum; this rule produces a score ...
Here is a collection of papers. The general idea is that the market has investor classes that share different expectations. When in bubble territory, many investors generally agree that assets are overpriced, but they still invest in expectation of more investors entering the market (the greater fools). There are also sophisticated investors who know assets ...
Given that you're tradeing low volumes ($<1\%$ of volume, I take), I would not assume more than 1 bps slippage in your case.
A public order book gives traders information not only on the current price of a security, but also the volume and structure of the entire supply and demand schedule. Such information can be used for arbitrage and market manipulation strategies in various ways: Spoofing: Inserting a large limit order as an apparent buy or sell signal which is canceled any ...
Before making regression you have to perform test on fractional integration on each component. The power and size of traditional unit root tests are poor. The tests’ weak power implies that the statistical tests cannot distinguish between a unit root process and a fractionally integrated series with long memory (Baillie, 1996). As a consequence, a ...
I am not sure Dark Pools (DP) have been created to avoid "market manipulation". They have been created by firms because they found an advantage to create them (see Market Microstructure in Practice, L and Laruelle Eds.). The main reasons have been: spare market fees, for DP created by brokers (like UBS MTF); spare market impact, for block pools (like ...
Yes indeed. There is a western paper which uses order data, albeit trader identification was removed. It is obviously this one: http://www.cims.nyu.edu/~almgren/papers/costestim.pdf Unfortunately, this data wasn't public. The co-authors were senior analysts at Citi: Robert Almgren is associate professor in the departments of mathematics and computer ...
I dug around and there's indeed an old publication on Risk.net written by a university professor that uses Citi's data: The data set on which we base our analysis contains, before filtering, almost 700,000 US stock trade orders executed by Citigroup equity trading desks for the 19-month period from December 2001 to June 2003.
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