A Note on Trader Sharpe Ratios
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{"title"=>"A note on trader sharpe ratios", "type"=>"journal", "authors"=>[{"first_name"=>"John M.", "last_name"=>"Coates", "scopus_author_id"=>"24173071000"}, {"first_name"=>"Lionel", "last_name"=>"Page", "scopus_author_id"=>"22635589400"}], "year"=>2009, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"355735326", "sgr"=>"71049122399", "issn"=>"19326203", "pmid"=>"19946367", "scopus"=>"2-s2.0-71049122399", "doi"=>"10.1371/journal.pone.0008036"}, "id"=>"dee423b2-7cdb-3cba-ab1e-0acf447e0a5e", "abstract"=>"Traders in the financial world are assessed by the amount of money they make and, increasingly, by the amount of money they make per unit of risk taken, a measure known as the Sharpe Ratio. Little is known about the average Sharpe Ratio among traders, but the Efficient Market Hypothesis suggests that traders, like asset managers, should not outperform the broad market. Here we report the findings of a study conducted in the City of London which shows that a population of experienced traders attain Sharpe Ratios significantly higher than the broad market. To explain this anomaly we examine a surrogate marker of prenatal androgen exposure, the second-to-fourth finger length ratio (2D:4D), which has previously been identified as predicting a trader's long term profitability. We find that it predicts the amount of risk taken by traders but not their Sharpe Ratios. We do, however, find that the traders' Sharpe Ratios increase markedly with the number of years they have traded, a result suggesting that learning plays a role in increasing the returns of traders. Our findings present anomalous data for the Efficient Markets Hypothesis.", "link"=>"http://www.mendeley.com/research/note-trader-sharpe-ratios", "reader_count"=>29, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Other"=>5, "Student > Master"=>3, "Student > Bachelor"=>2, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Other"=>5, "Student > Master"=>3, "Student > Bachelor"=>2, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Agricultural and Biological Sciences"=>2, "Business, Management and Accounting"=>4, "Computer Science"=>3, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>4, "Engineering"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>2, "Neuroscience"=>1, "Sports and Recreations"=>1, "Psychology"=>6, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>2}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>6}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}, "Engineering"=>{"Engineering"=>1}, "Neuroscience"=>{"Neuroscience"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>4}}, "reader_count_by_country"=>{"Luxembourg"=>1, "United Kingdom"=>1, "Switzerland"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/874798"], "description"=>"<p>Trader Sharpe Ratios plotted against the number of years they have traded. Sharpe Ratios have been box-Cox transformed. The fitted curve is logarithmic rather than linear. N = 53.</p>", "links"=>[], "tags"=>["years"], "article_id"=>545262, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036.g004", "stats"=>{"downloads"=>4, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sharpe_Ratio_and_years_of_experience_/545262", "title"=>"Sharpe Ratio and years of experience.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-11-25 01:27:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/433768"], "description"=>"<div><p>Traders in the financial world are assessed by the amount of money they make and, increasingly, by the amount of money they make per unit of risk taken, a measure known as the Sharpe Ratio. Little is known about the average Sharpe Ratio among traders, but the Efficient Market Hypothesis suggests that traders, like asset managers, should not outperform the broad market. Here we report the findings of a study conducted in the City of London which shows that a population of experienced traders attain Sharpe Ratios significantly higher than the broad market. To explain this anomaly we examine a surrogate marker of prenatal androgen exposure, the second-to-fourth finger length ratio (2D∶4D), which has previously been identified as predicting a trader's long term profitability. We find that it predicts the amount of risk taken by traders but not their Sharpe Ratios. We do, however, find that the traders' Sharpe Ratios increase markedly with the number of years they have traded, a result suggesting that learning plays a role in increasing the returns of traders. Our findings present anomalous data for the Efficient Markets Hypothesis.</p></div>", "links"=>[], "tags"=>["trader", "sharpe", "ratios"], "article_id"=>145575, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036", "stats"=>{"downloads"=>13, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/A_Note_on_Trader_Sharpe_Ratios/145575", "title"=>"A Note on Trader Sharpe Ratios", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-11-25 01:32:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/874695"], "description"=>"<p>Box plot showing the distribution of Sharpe Ratios for all traders compared to Sharpe Ratio of the Dax (the German Stock Index); beginner traders only (2 yrs or less); and experienced traders only. T-test p-values indicated below each plot. The Dax Sharpe Ratio over the period is represented as a dashed line.</p>", "links"=>[], "tags"=>["sharpe", "ratios", "compared"], "article_id"=>545160, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Trader_Sharpe_Ratios_compared_to_Dax_/545160", "title"=>"Trader Sharpe Ratios compared to Dax.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-11-25 01:26:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/874741"], "description"=>"<p>Traders' 2D∶4D ratios plotted against their risk, i.e., standard deviation of their P&L, Box-Cox transformed. The fitted curve is quadratic. N = 53.</p>", "links"=>[], "tags"=>["neuroscience/behavioral neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/experimental psychology"], "article_id"=>545209, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_2D_8758_4D_vs_risk_/545209", "title"=>"2D∶4D vs risk.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-11-25 01:26:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/874842"], "description"=>"<p>Average Sharpe Ratios calculated for four subsequent periods of five months each. Sharpe ratios increased significantly over the 20 months suggesting that traders were learning how to make more money per unit of risk taken.</p>", "links"=>[], "tags"=>["sharpe", "ratios", "20-month"], "article_id"=>545308, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evolution_of_individual_Sharpe_Ratios_over_a_20_month_period_/545308", "title"=>"Evolution of individual Sharpe Ratios over a 20-month period.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-11-25 01:28:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/874642"], "description"=>"<p>Plot of traders' P&L against the standard deviation of their P&L. The curve is linear. The intercept is 0, rather than the risk free rate, because returns are zero when the traders do not trade. As P&L data is heavily skewed to the right, we employed a Box-Cox transformation of the P&L to normalise it (SI). The curve is also linear when plotted with raw and log transformed data, as predicted by the Efficient Market Hypothesis.</p>", "links"=>[], "tags"=>["neuroscience/behavioral neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/experimental psychology"], "article_id"=>545102, "categories"=>["Neuroscience"], "users"=>["John M. Coates", "Lionel Page"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008036.g001", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_P_amp_L_vs_Risk_/545102", "title"=>"P&L vs. Risk.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-11-25 01:25:02"}

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