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Algorithmic Finance

Algorithmic Finance is a high-quality academic research journal that seeks to bridge computer science and finance, including high frequency and algorithmic trading, statistical arbitrage, momentum and other algorithmic portfolio management strategies, machine learning and computational financial intelligence, agent-based finance, complexity and market efficiency, algorithmic analysis on derivatives, behavioral finance and investor heuristics, and news analytics.

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Algorithmic Finance | algorithmicfinance.org Reviews
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Algorithmic Finance is a high-quality academic research journal that seeks to bridge computer science and finance, including high frequency and algorithmic trading, statistical arbitrage, momentum and other algorithmic portfolio management strategies, machine learning and computational financial intelligence, agent-based finance, complexity and market efficiency, algorithmic analysis on derivatives, behavioral finance and investor heuristics, and news analytics.
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Algorithmic Finance | algorithmicfinance.org Reviews

https://algorithmicfinance.org

Algorithmic Finance is a high-quality academic research journal that seeks to bridge computer science and finance, including high frequency and algorithmic trading, statistical arbitrage, momentum and other algorithmic portfolio management strategies, machine learning and computational financial intelligence, agent-based finance, complexity and market efficiency, algorithmic analysis on derivatives, behavioral finance and investor heuristics, and news analytics.

INTERNAL PAGES

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1

Algorithmic Finance

http://www.algorithmicfinance.org/1-2

Volume 1, Issue 2 (2011). The Impact of Asymmetry on Expected Stock Returns: An Investigation of Alternative Risk Measures. Stephen P. Huffman; Cliff R. Moll. Algorithmic Finance (2011), 1:2, 79-93. Inventory-based versus Prior-based Options Trading Agents. Abraham Othman; Tuomas Sandholm. Algorithmic Finance (2011), 1:2, 95-121. News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents. Algorithmic Finance (2011), 1:2, 123-139. Algorithmic Finance (2011), 1:2, 141-156.

2

Algorithmic Finance

http://www.algorithmicfinance.org/3-3-4

Volume 3, Issue 3-4 (2014). A minute with Andrew Odlyzko. Algorithmic Finance (2014), 3:3-4, 141-142. An efficient algorithm for the calculation of reserves for non-unit linked life policies. Mark Tucker; J. Mark Bull. Algorithmic Finance (2014), 3:3-4, 143-161. The relationship between return fractality and bipower variation. Thomas A. Rhee. Algorithmic Finance (2014), 3:3-4, 163-171. Fast recursive portfolio optimization. Algorithmic Finance (2014), 3:3-4, 173-188. Author Index Volume 3 (2014). Enhance...

3

Algorithmic Finance

http://www.algorithmicfinance.org/3-1-2

Volume 3, Issue 1-2 (2014). A Minute with Kenneth J. Arrow. Algorithmic Finance (2014), 3:1-2, 1-2. The extent of price misalignment in prediction markets. David Rothschild; David M. Pennock. Algorithmic Finance (2014), 3:1-2, 3-20. Neil J. Calkin; Marcos López de Prado. Algorithmic Finance (2014), 3:1-2, 21-42. The topology of macro financial flows: An application of stochastic flow diagrams. Neil J. Calkin; Marcos López de Prado. Algorithmic Finance (2014), 3:1-2, 43-85. Kenneth J. Arrow. In addition, ...

4

Algorithmic Finance

http://www.algorithmicfinance.org/1-1

Volume 1, Issue 1 (2011). Markets are efficient if and only if P = NP. Philip Z. Maymin. Algorithmic Finance (2011), 1:1, 1-11. Binomial options pricing has no closed-form solution. Algorithmic Finance (2011), 1:1, 13-16. Efficient greek estimation in generic swap-rate market models. Mark Joshi; Chao Yang. Algorithmic Finance (2011), 1:1, 17-33. Forecasting prices from level-I quotes in the presence of hidden liquidity. Marco Avellaneda; Josh Reed; Sasha Stoikov. Algorithmic Finance (2011), 1:1, 35-43.

5

Algorithmic Finance

http://www.algorithmicfinance.org/2-1

Volume 2, Issue 1 (2013). A Minute with Andrei Kirilenko. Algorithmic Finance (2013), 2:1, 1-2. Cluster formation and evolution in networks of financial market indices. Algorithmic Finance (2013), 2:1, 3-43. Nonlinear support vector machines can systematically identify stocks with high and low future returns. Ramon Huerta; Fernando Corbacho; Charles Elkan. Algorithmic Finance (2013), 2:1, 45-58. A multiscale model of high-frequency trading. Andrei Kirilenko; Richard B. Sowers; Xiangqian Meng. The journal...

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philipmaymin.com philipmaymin.com

Philip Maymin » Home

http://philipmaymin.com/home

Visit Journal of Sports Analytics. For more details, but in brief:. Chief Analytics Officer at Vantage Sports. Associate Professor of Analytics and Finance at the University of Bridgeport Trefz School of Business. Founding managing editor of Algorithmic Finance. Founding co-editor-in-chief of the Journal of Sports Analytics. Analytics consultant for NBA teams. Attorney at law admitted to practice in California. Hedge fund portfolio manager. Author of several books. What is algorithmic finance?

philipmaymin.com philipmaymin.com

Philip Maymin » Yankee Books

http://www.philipmaymin.com/yankee-books

Visit Journal of Sports Analytics. These books are compilations of select essays and articles originally published primarily in the Fairfield County Weekly. And on LewRockwell.com. History is available here. Yankee Wake Up (2008). What does Noah's flood have to do with the War in Iraq? Is Harry Potter a Libertarian? Why are we still fighting the War of 1812? Is drug prohibition the modern equivalent of the Puritanical outlawing of Christmas? How is the income tax like ghosts and goblins? And more about h...

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E-submit: secure online submissions to Algorithmic Finance

https://editorialexpress.com/af

Start of submission process. Info (title, abstract, etc). Coauthors, if any. And cover letter (if any). Or documents (if any). Secure online submissions to. This form allows you to upload a manuscript, cover letter, or other files or supporting documentation for your submission (or resubmission) to. Note that text in the Main Menu above or other text in blue are. If you use your mouse to click on any blue text item, your browser will take you to the link target. This information will be transmitted.

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Philip Maymin » Credits

http://www.philipmaymin.com/credits

Visit Journal of Sports Analytics. This website uses NanoCMS. In the header is a resized version of a photo by Paul Goyette. Pretty formatting for the list of basketball articles comes from this article. The folder icon near the published academic papers is from here. The PDF icon near the published academic papers is from here.

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Philip Maymin » Basketball Articles

http://www.philipmaymin.com/basketball-articles

Visit Journal of Sports Analytics. Wage Against the Machine: A Generalized Deep-Learning Market Test of Dataset Value. How can you tell if a particular sports dataset really adds value? The method introduced in this paper provides a way for any analyst in almost any sport to determine the additional value of almost any dataset. Maymin, Philip Z. (2015), "Wage Against the Machine: A Generalized Deep-Learning Market Test of Dataset Value," Working Paper. Sports Analytics Innovation Summit. December 27, 2015.

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Philip Maymin » Academic Papers

http://www.philipmaymin.com/academic-papers

Visit Journal of Sports Analytics. Academic Papers and Books. Accepted and Published Papers. Maymin, Philip Z. Maymin, Zakhar G. 2013, vol. 1, no. 1, pp.55-59. Fisher, Gregg S. Maymin, Philip Z. Maymin, Zakhar G. Mutual Fund Outperformance and Growth. Journal of Investment Management. 2014, vol. 12, no. 2, pp.8-13. Fisher, Gregg S. Maymin, Philip Z. Maymin, Zakhar G. Journal of Portfolio Management. Winter 2015, vol. 41, no. 2, pp.42-56. Maymin, Philip Z. Algorithmic Entangled Political Economy. Journal ...

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Philip Maymin » About Philip

http://www.philipmaymin.com/about-philip

Visit Journal of Sports Analytics. Dr Philip Z. Maymin is Associate Professor of Analytics and Finance at the University of Bridgeport Trefz School of Business. He is also the founding managing editor of Algorithmic Finance. And the co-founder and co-editor-in-chief of the Journal of Sports Analytics. He has also been an analytics consultant with several NBA teams and is the Chief Analytics Officer for Vantage Sports. The Fairfield County Weekly. Free Your Inner Yankee. And Yankee Go Home. To regional ne...

iospress.nl iospress.nl

IOS Press

http://www.iospress.nl/journal/algorithmic-finance

Impacting the World of Science. Books and Journals, Online and Print. Books & Journals. 5; 4 issues. Last issue (5:1-2) online on 21 June 2016. 5:3 scheduled for October 2016. Recommend this title to your librarian. Institutional subscription for 2016. Euro;474 (print only) / US$631 (print only). First four volumes will be freely available online. Read the continuing call for papers. Manuscript submission and Author instructions. High frequency and algorithmic trading. Complexity and market efficiency.

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Algorithmic Finance

Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as:. High frequency and algorithmic trading. Momentum and other algorithmic portfolio management. Machine learning and computational financial intelligence. Complexity and market efficiency. Algorithmic analysis of derivatives valuation. Behavioral finance and investor heuristics and algorithms. Published and Forthcoming Papers.

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Home Page

Algorithmic Harmony Research Group. Algo to fool customers. Apply to join AHRG. Welcome to the website for the Algorithmic Harmony's Forex trading algorithms development. This website and its products are administered by Algorithmic Harmony Research Group (AHRG). AHRG primary focus is the development of trading algorithms that provide robust solutions that will reap consistent.

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Algorithmic Ink

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Algorithmic Insight

Bringing the Art of Data Discovery to you.