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There are three fundamental ways of testing the validity of an investment algorithm against historical evidence: a) the … investment algorithm should be deployed throughout all market regimes. We denote such assumption the “all-weather” hypothesis …, and the algorithms based on that hypothesis “strategic investment algorithms” (or “investment strategies”).The all …
Persistent link: https://www.econbiz.de/10012862212
Traditionally, the development of investment strategies has required domain-specific knowledge as well as access to … restricted datasets. This has meant that investment opportunities are not researched by the majority of data scientists, because … crowdsourcing paradigm for investment research. Tournaments can overcome the two research barriers (domain-specific knowledge and …
Persistent link: https://www.econbiz.de/10012847749
In this presentation, we analyze the explanatory (in-sample) and predictive (out-of-sample) importance of some of the best known market microstructural features. Our conclusions are drawn over the entire universe of the 87 most liquid futures worldwide, covering all asset classes, going back...
Persistent link: https://www.econbiz.de/10012917047
One of the fundamental shortcoming of the popular analysis tools for time series is that they require the data to be taken at uniform time intervals. However, the real-world time series, such as those from financial markets, are mostly from irregular time intervals. It is a common practice to...
Persistent link: https://www.econbiz.de/10013006002
How best to discern trading intentions from market data? We examine the accuracy of three methods for classifying trade data: bulk volume classification (BVC), Tick Rule and Aggregated Tick Rule. We develop a Bayesian model of inferring information from trade executions, and show the conditions...
Persistent link: https://www.econbiz.de/10013008328
Multiple empirical studies have shown that Order Flow Imbalance has predictive power over the trading range.The PIN Theory (Easley et al. [1996]) reveals the Microstructure mechanism by which: Market Makers adjust their trading range to avoid being adversely selected by Informed Traders;...
Persistent link: https://www.econbiz.de/10013036303
SEC and CFTC reports estimate that High Frequency strategies are responsible for about 60% of all transactions on U.S. shares. In Europe, this percentage is around 40% and growing. High Frequency strategies are those characterized by a brief holding period, which can range from a split second to...
Persistent link: https://www.econbiz.de/10013036735
Execution traders know that market impact greatly depends on whether their orders lean with or against the market. We introduce the OEH model, which incorporates this fact when determining the optimal trading horizon for an order, an input required by many sophisticated execution strategies....
Persistent link: https://www.econbiz.de/10013036991
The ‘flash crash' of May 6th 2010 was the second largest point swing (1,010.14 points) and the biggest one-day point decline (998.5 points) in the history of the Dow Jones Industrial Average. For a few minutes, $1 trillion in market value vanished. In this paper, we argue that the ‘flash...
Persistent link: https://www.econbiz.de/10012906008
Financial ML offers the opportunity to gain insight from data:* Modelling non-linear relationships in a high-dimensional space* Analyzing unstructured data (asynchronous, categorical)* Learning complex patterns (hierarchical, non-parametric)* Focusing on predictability over parametric...
Persistent link: https://www.econbiz.de/10012852049