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Turing Finance

Technical articles covering computational finance which is the design, testing, and implementation of software which realizes quantitative finance models.

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Turing Finance | turingfinance.com Reviews

https://turingfinance.com

Technical articles covering computational finance which is the design, testing, and implementation of software which realizes quantitative finance models.

INTERNAL PAGES

turingfinance.com turingfinance.com
1

Investment management reading list

http://www.turingfinance.com/investment-management-reading-list

Turing Finance September 3, 2016. I have always been an avid reader and the majority of my knowledge about finance and investment management has been self-taught. This page contains a list of the books which I have read and highly recommend to anyone interested in a career in financial services. The Intelligent Investor - Benjamin Graham. Literally everyone, Equity Analysts, and Portfolio Managers. Margin of Safety - Seth Klarman. Literally everyone, Equity Analysts, and Portfolio Managers. Equity Analys...

2

Machine Learning Software

http://www.turingfinance.com/machine-learning-software

Turing Finance September 4, 2016. Machine learning has many synonyms including, but not limited to, computational statistics, data mining, artificial intelligence, computational intelligence, and most recently deep learning (. Deep learning can also be seen as a specific instance of machine learning. For a much more comprehensive list check out this GitHub list of machine learning frameworks! Data Mining / Statistical Analysis Software. Pandas provides data structures and data analysis tools including op...

3

Monte Carlo K-Means Clustering of Countries

http://www.turingfinance.com/clustering-countries-real-gdp-growth-part2

Turing Finance August 20, 2016. Monte Carlo K-Means Clustering of Countries. In the first part of this three-part series,. What Drives Real GDP Growth? I identified four themes which drive real GDP growth. These themes are based on 19 socioeconomic indicators whose average Spearman. Correlations to real GDP growth were statistically significant and greater than 0.2 across the 188 country sample. Clustering theory - Measures of similarity and distance. Clustering theory - Classes of clustering algorithms.

4

Dimensionality Reduction Techniques

http://www.turingfinance.com/artificial-intelligence-and-statistics-principal-component-analysis-and-self-organizing-maps

Turing Finance September 3, 2016. The curse of dimensionality. Is the phenomena whereby an increase in the dimensionality of a data set results in exponentially more data being required to produce a representative sample of that data set. To combat the curse of dimensionality, numerous linear and non-linear dimensionality reduction. Techniques have been developed. These techniques aim to reduce the number of dimensions (variables) in a data set through either feature selection. See section 3.3). Discussi...

5

Computational Decision Making Methods

http://www.turingfinance.com/computational-decision-making-for-finance

Turing Finance August 21, 2016. Computational Decision Making Methods. Artificial intelligence is broadly defined as the ability of an agent or a model to make either optimal or satisficing decisions. How should I allocate my portfolio? Should I buy this stock or not? What should I pay for this security? This article will discuss the applications and challenges of computational decision making and present a taxonomy of computational decision making methods, their strengths, and their weaknesses. I ho...

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beyondtheblueeventhorizon.blogspot.com beyondtheblueeventhorizon.blogspot.com

Beyond the Blue Event Horizon: September 2011

http://beyondtheblueeventhorizon.blogspot.com/2011_09_01_archive.html

Beyond the Blue Event Horizon. Until recently I was chief operating officer at The Bornhoft Group. Having gained operations experience with a multiple-CTA manager, I now want to contribute both my strategic and implementation skills to drive growth for systematic trading funds. View my complete profile. Keep Up to Date. Or enter email directly . All-In on a New Account. All-In on a New Account. Wednesday, September 28, 2011. 160;I thought I would share my modest contribution here. 160;Perhaps a future lo...

beyondtheblueeventhorizon.blogspot.com beyondtheblueeventhorizon.blogspot.com

Beyond the Blue Event Horizon: tradersplace

http://beyondtheblueeventhorizon.blogspot.com/2013/05/tradersplace.html

Beyond the Blue Event Horizon. Until recently I was chief operating officer at The Bornhoft Group. Having gained operations experience with a multiple-CTA manager, I now want to contribute both my strategic and implementation skills to drive growth for systematic trading funds. View my complete profile. Keep Up to Date. Or enter email directly . Saturday, May 25, 2013. A good friend of mine, Anthony Garner and an associate of his, Andreas Clenow, have set up a great traders' community at tradersplace.

beyondtheblueeventhorizon.blogspot.com beyondtheblueeventhorizon.blogspot.com

Beyond the Blue Event Horizon: October 2010

http://beyondtheblueeventhorizon.blogspot.com/2010_10_01_archive.html

Beyond the Blue Event Horizon. Until recently I was chief operating officer at The Bornhoft Group. Having gained operations experience with a multiple-CTA manager, I now want to contribute both my strategic and implementation skills to drive growth for systematic trading funds. View my complete profile. Keep Up to Date. Or enter email directly . Monday, October 18, 2010. Read more - - -. Links to this post. Subscribe to: Posts (Atom).

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

Quantum Financier | On algorithmic trading | Page 2

https://quantumfinancier.wordpress.com/page/2

February 15, 2011. When designing a model, an aspect that I often overlook is scalability. First a definition from Investopedia: A characteristic of a system, model or function that describes its capability to cope and perform under an increased or expanding workload. A system that scales well will be able to maintain or even increase its level of performance or efficiency when tested by larger operational demands. Other avenues to consider in scalability are left to the interested reader who can always ...

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

Basic Introduction to GARCH and EGARCH (part 1) | Quantum Financier

https://quantumfinancier.wordpress.com/2010/09/12/381

Basic Introduction to GARCH and EGARCH (part 1). September 12, 2010. As request by several readers in light of the previous series of post on using GARCH(1,1) to forecast volatility, here is a very basic introduction post on two models widely used in finance: the GARCH and EGARCH. As mentioned in one of my all time favorite blog post: Wonder of Residuals. There is a myriad of information and uses to this construct. When we fit a model, we are, or I am anyway (! Would call it level 1 adaptation. Must be e...

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

Hello Old Friend | Quantum Financier

https://quantumfinancier.wordpress.com/2015/03/17/hello-old-friend

March 17, 2015. Reports of my death have been greatly exaggerated Mark Twain. Obviously since I have been trading full time my skill set has evolved so I can only imagine that the new perspective I hope to bring to the analysis contained moving forward will be more insightful. To all of you. From → Uncategorized. Larr; 2012 Wishes. 99 Problems But A Backtest Ain’t One →. March 18, 2015 03:31. Glad to hear you back🙂. Can I ask you what are the reasons to move to Python? March 19, 2015 14:40. I think R is...

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

Basic Introduction to GARCH and EGARCH (part 2) | Quantum Financier

https://quantumfinancier.wordpress.com/2010/09/14/basic-introduction-to-garch-and-egarch-part-2

Basic Introduction to GARCH and EGARCH (part 2). September 14, 2010. First we construct the portfolio, see below the numbers for each individual component and the portfolio in the last column. From the standard deviation in the table, we see that SPY is far more volatile than AGG. Also note the very fat tail of SPY (normal value is 3). Finally, the negative skewness indicates that the left tail (negative returns) is longer, translating into more extreme losses. From → Uncategorized. I tried to follow alo...

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

99 Problems But A Backtest Ain’t One | Quantum Financier

https://quantumfinancier.wordpress.com/2015/03/23/99-problems-but-a-backtest-aint-one

99 Problems But A Backtest Ain’t One. March 23, 2015. Backtesting is a very important step in strategy development. But if you have ever went through the full strategy development cycle, you may have realized how difficult it is to backtest a strategy properly. People use different tools to implement a backtest depending on their expertise and goals. For those with a programming background, Quantstrat. From → Uncategorized. Larr; Hello Old Friend. Give me good data, or give me death →. Thank you for comm...

quantumfinancier.wordpress.com quantumfinancier.wordpress.com

Regime Switching System Using Volatility Forecast | Quantum Financier

https://quantumfinancier.wordpress.com/2010/08/27/regime-switching-system-using-volatility-forecast

Regime Switching System Using Volatility Forecast. August 27, 2010. In the same line of thoughts as last post, today we will look at a way to incorporate the GARCH volatility model we introduced yesterday to create a regime switching strategy. It is often discussed on the blogosphere that high volatility is good for daily MR, see previous editions of the state of short-term mean-reversion report by Michael over at MarketSci here. As mentioned before on many other blogs, incorporating volatility forecast ...

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