Technical trading revisited: False discoveries, persistence tests, and transaction costs
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283 · see citing works
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490 · see citing works
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692 · see citing works
A Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603 · see citing works
Evidence of Predictable Behavior of Security Returns
Jegadeesh, N. (1990) · The Journal of Finance · doi:10.1111/j.1540-6261.1990.tb05110.x · Cited by 2,705 · see citing works
Politis, D. N., & Romano, J. P. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476870 · Cited by 2,649 · see citing works
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301 · see citing works
The positive false discovery rate: a Bayesian interpretation and the q-value
Storey, J. D. (2003) · The Annals of Statistics · doi:10.1214/aos/1074290335 · Cited by 2,204 · see citing works
A Reality Check for Data Snooping
White, H. (2000) · Econometrica · doi:10.1111/1468-0262.00152 · Cited by 1,851 · see citing works
Institutional Investors and Equity Prices
Gompers, P. A., & Metrick, A. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301556392 · Cited by 1,746 · see citing works
Storey, J. D., Taylor, J., & Siegmund, D. (2003) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2004.00439.x · Cited by 1,345 · see citing works
Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds
Fung, W., & Hsieh, D. A. (1997) · Review of Financial Studies · doi:10.1093/rfs/10.2.275 · Cited by 1,330 · see citing works
A Test for Superior Predictive Ability
Hansen, P. R. (2005) · Journal of Business & Economic Statistics · doi:10.1198/073500105000000063 · Cited by 1,230 · see citing works
The market for borrowing stock
D'Avolio, G. M. (2002) · Journal of Financial Economics · doi:10.1016/s0304-405x(02)00206-4 · Cited by 1,162 · see citing works
Data-Snooping Biases in Tests of Financial Asset Pricing Models
Lo, A. W., & MacKinlay, A. C. (1990) · Review of Financial Studies · doi:10.1093/rfs/3.3.431 · Cited by 1,134 · see citing works
Lo, A. W., Mamaysky, H., & Wang, J. (2000) · The Journal of Finance · doi:10.1111/0022-1082.00265 · Cited by 1,131 · see citing works
Data-snooping, technical trading rule performance and the Bootstrap
Sullivan, R., Timmermann, A., & White, H. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00163 · Cited by 1,028 · cited 2× · see citing works
“…found results in favor of the ability of trading rules to deliver superior returns, e.g., Neftci (1991), Brock, Lakonishok, and LeBaron (1992) (BLL), Neely, Weller, and Dittmar (1997), Sullivan, Timmermann, and White (1999) (STW), Lo, Mamaysky, and Wang (2000), Kavajecz and Odders-White (2004).”
Stepwise Multiple Testing as Formalized Data Snooping
Romano, J. P., & Wolf, M. (2005) · Econometrica · doi:10.1111/j.1468-0262.2005.00615.x · Cited by 1,019 · see citing works
Short-sale constraints and stock returns
Jones, C. M., & Lamont, O. A. (2002) · Journal of Financial Economics · doi:10.1016/s0304-405x(02)00224-6 · Cited by 899 · see citing works
Using genetic algorithms to find technical trading rules
Allen, F., & Karjalainen, R. (1999) · Journal of Financial Economics · doi:10.1016/s0304-405x(98)00052-x · Cited by 855 · see citing works
Filter Rules and Stock-Market Trading
Fama, E. F., & Blume, M. E. (1966) · The Journal of Business · doi:10.1086/294849 · Cited by 845 · see citing works
Pairs Trading: Performance of a Relative-Value Arbitrage Rule
Gatev, E., Goetzmann, W. N., & Rouwenhorst, K. G. (2006) · Review of Financial Studies · doi:10.1093/rfs/hhj020 · Cited by 830 · see citing works
False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas
BARRAS, L., SCAILLET, O., & WERMERS, R. (2010) · The Journal of Finance · doi:10.1111/j.1540-6261.2009.01527.x · Cited by 825 · see citing works
Self-citationBrennan, M. J., Schwartz, E. S., & Lagnado, R. (1997) · Journal of Economic Dynamics and Control · doi:10.1016/s0165-1889(97)00031-6 · Cited by 762 · see citing works
Securities lending, shorting, and pricing
Duffie, D., Garleanu, N. B., & Pedersen, L. H. (2002) · Journal of Financial Economics · doi:10.1016/s0304-405x(02)00226-x · Cited by 703 · see citing works
Brown, S. J., & Goetzmann, W. N. (1995) · The Journal of Finance · doi:10.1111/j.1540-6261.1995.tb04800.x · Cited by 701 · see citing works
Transactions costs and investment style: an inter-exchange analysis of institutional equity trades
Keim, D. B., & Madhavan, A. (1997) · Journal of Financial Economics · doi:10.1016/s0304-405x(97)00031-7 · Cited by 653 · see citing works
Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach
Neely, C. J., Weller, P., & Dittmar, R. (1997) · Journal of Financial and Quantitative Analysis · doi:10.2307/2331231 · Cited by 643 · see citing works
Do hedge funds deliver alpha? A Bayesian and bootstrap analysis☆
Kosowski, R. L., Naik, N. Y., & Teo, M. (2007) · Journal of Financial Economics · doi:10.1016/j.jfineco.2005.12.009 · Cited by 545 · see citing works
Transaction costs and the small firm effect
Stoll, H. R., & Whaley, R. E. (1983) · Journal of Financial Economics · doi:10.1016/0304-405x(83)90027-2 · Cited by 529 · see citing works
Stocks are special too: an analysis of the equity lending market
Geczy, C. C., Musto, D. K., & Reed, A. V. (2002) · Journal of Financial Economics · doi:10.1016/s0304-405x(02)00225-8 · Cited by 511 · see citing works
Adapting to unknown sparsity by controlling the false discovery rate
Abramovich, F., Benjamini, Y., Donoho, D. L., & Johnstone, I. M. (2006) · The Annals of Statistics · doi:10.1214/009053606000000074 · Cited by 455 · see citing works
The obstinate passion of Foreign Exchange Professionals: \ntechnical analysis
Menkhoff, L., & Taylor, M. (2006) · Warwick Research Archive Portal (University of Warwick) · Cited by 451 · see citing works
Optimal Portfolio Allocation under Higher Moments
Jondeau, É., & Rockinger, M. (2006) · European Financial Management · doi:10.1111/j.1354-7798.2006.00309.x · Cited by 411 · see citing works
Return Reversals, Idiosyncratic Risk, and Expected Returns
Huang, W., Liu, Q., Rhee, S. G., & Zhang, L. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhp015 · Cited by 388 · see citing works
Market efficiency and the returns to technical analysis
Bessembinder, H., & Chan, K. (1998) · Financial Management · doi:10.2307/3666289 · Cited by 324 · see citing works
A stochastic process approach to false discovery control
Genovese, C., & Wasserman, L. (2004) · The Annals of Statistics · doi:10.1214/009053604000000283 · Cited by 293 · see citing works
Neftci, S. N. (1991) · The Journal of Business · doi:10.1086/296551 · Cited by 271 · see citing works
Elliott, G., & Timmermann, A. (2008) · Journal of Economic Literature · doi:10.1257/jel.46.1.3 · Cited by 239 · see citing works
Hsu, P., Hsu, Y., & Kuan, C. (2010) · Journal of Empirical Finance · doi:10.1016/j.jempfin.2010.01.001 · Cited by 187 · see citing works
FORMALIZED DATA SNOOPING BASED ON GENERALIZED ERROR RATES
Romano, J. P., Shaikh, A. M., & Wolf, M. (2007) · Econometric Theory · doi:10.1017/s0266466608080171 · Cited by 185 · see citing works
Reexamining the Profitability of Technical Analysis with Data Snooping Checks
Hsu, P. (2005) · Journal of Financial Econometrics · doi:10.1093/jjfinec/nbi026 · Cited by 181 · see citing works
The Dow Theory: William Peter Hamilton's Track Record Reconsidered
Brown, S. J., Goetzmann, W. N., & Kumar, A. (1998) · The Journal of Finance · doi:10.1111/0022-1082.00054 · Cited by 161 · see citing works
Residual-Based Block Bootstrap for Unit Root Testing
Paparoditis, E., & Politis, D. N. (2003) · Econometrica · doi:10.1111/1468-0262.00427 · Cited by 149 · see citing works
Technical Analysis and Liquidity Provision
Kavajecz, K. A., & Odders-White, E. R. (2004) · Review of Financial Studies · doi:10.1093/rfs/hhg057 · Cited by 146 · see citing works
Profits from Technical Trading Rules
Ready, M. J. (2002) · Financial Management · doi:10.2307/3666314 · Cited by 137 · see citing works
Multiple hypotheses testing and expected number of type I. errors
Finner, H., & Roters, M. (2002) · The Annals of Statistics · doi:10.1214/aos/1015362191 · Cited by 107 · see citing works
On false discovery control under dependence
Wu, W. B. (2008) · The Annals of Statistics · doi:10.1214/009053607000000730 · Cited by 95 · see citing works
Some Results on the Control of the False Discovery Rate under Dependence
Farcomeni, A. (2006) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2006.00530.x · Cited by 90 · see citing works
Economic Implications of Changing Share Ownership
Friedman, B. M. (1996) · The Journal of Portfolio Management · doi:10.3905/jpm.1996.409552 · Cited by 56 · see citing works
Technical analysis compared to mathematical models based methods under parameters mis-specification
Christophette Blanchet-scalliet, A., Diop, A., Gibson, R., Talay, D., & Tanré, É. (2006) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2006.10.017 · Cited by 28 · see citing works
Evaluating Dynamic Strategies: The Free Lunch Was No BanquetPreprint
Eric Jacquier, A., & Yao, T. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.353261 · Cited by 1 · see citing works
Control of the false discovery rate under dependence using the bootstrap and subsampling
Romano, J. P., Shaikh, A. M., & Wolf, M. (2008) · Test · doi:10.1007/s11749-008-0126-6 · Cited by 1 · see citing works
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Menyhart, O., Weltz, B., & Győrffy, B. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245824 · Cited by 216 · see citing works
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Performance of technical trading rules: evidence from the crude oil market
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- Authors
- Bajgrowicz, P., & Scaillet, O.
- Affiliations
- University of Geneva (CH)
- Venue
- Journal of Financial Economics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 106
- Issue
- 3
- Pages
- 473-491
- ISSN
- 0304-405X (ISSN-L)
- OpenAlex
- W3122236376
- Cited by
- 253
- References
- 54
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 12 · 2023: 17 · 2022: 14 · 2021: 23 · 2020: 24 · 2019: 28 · 2018: 21 · 2017: 21 · 2016: 10 · 2015: 20 · 2014: 17 · 2013: 5 · 2012: 9
- FWCI
- 27.10
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of Financial Economics (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (acceptedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, other-oa)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Risk and Volatility Modeling
- Keywords
- technical trading rules, false discovery rate, data snooping, transaction costs, model uncertainty, Dow Jones Industrial Average, daily stock prices
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