Academic literature on the topic 'Mutual fund performance research'

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Journal articles on the topic "Mutual fund performance research"

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Hsieh, Lu-Chen, and Ying-Shing Lin. "Inflows and outflows of mutual funds: a performance comparison of funds offered by traditional banks, insurance companies and mutual fund companies." Investment Management and Financial Innovations 15, no. 4 (2018): 258–72. http://dx.doi.org/10.21511/imfi.15(4).2018.21.

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The transformations in internet technology and financial innovation have led to the prevalence of direct finance, causing indirect finance to contract and concerns among traditional banks and insurance channel operators to seek transformation to innovate traditional services with advanced technology applications. The research compares the sales revenue flows of traditional banks, insurance companies, and mutual fund institutions, using quantile regression methods with five mutual fund factors: Jensen’s indexes, expenses, risks, sizes, and turnover rates. The sample statistics from 2001 to 2016
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Sianipar, Rivandi Uchok Imanuel, Bambang Mulyana, and Sri Marti Pramudena. "Performance Evaluation of Equity Funds: 2017-2019." Journal of Business and Management Studies 3, no. 2 (2021): 43–54. http://dx.doi.org/10.32996/jbms.2021.3.2.5.

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Mutual funds are said to perform very well if they can provide a higher rate of return and minimize risk. This study aims to find out if the performance of stock mutual funds has a better performance than the market as a comparison (JCI) using sharpe and jensen methods and to find out if there is a difference in the rating of stock mutual fund performance measurement results between sharpe method and Jensen method.The analysis results using Sharpe method and Jensen method show that 30 mutual funds have a good performance where the performance value of stock mutual funds from sharpe and jensen
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Alvi, Jahanzaib, and Muhammad Rehan. "Factors affecting mutual fund performance in Pakistan." Global Journal of Business, Economics and Management: Current Issues 10, no. 2 (2020): 124–43. http://dx.doi.org/10.18844/gjbem.v10i2.4907.

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The crux of this research is to critically evaluate the potential mutual fund performance drivers. This research will benefit the stakeholders in terms of smart investment decisions. The study is based on convenient sampling method covering 16 out of 19 asset management companies (AMCs) that comprise 114 outstanding funds in the Mutual Fund Association of Pakistan (MUFAP). The data were collected quarterly from March 2013 to March 2018. The findings reveal that the asset under management, fund risk, KSE-100 returns, total income, total expense, age of the fund and lagged returns have a signifi
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Robiyanto, Robiyanto, Michael Alexander Santoso, and Rihfenti Ernayani. "Sharia mutual funds performance in Indonesia." Business: Theory and Practice 20 (January 9, 2019): 11–18. http://dx.doi.org/10.3846/btp.2019.02.

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The study aims to measure each Sharia mutual fund performance and compare with market performance in Indonesia. Sharia mutual fund investment instruments in Indonesia have positive developments over the period from 2012 to 2017. These positive developments add to the option of investment instruments for public, especially investors who put forward the principles of Sharia. This research was conducted so that the public could have scientific information about Sharia mutual funds that have the best performance. The study found consistent results regarding Sharia mutual funds with the best perfor
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Basuki, Novianto, and Moh Khoiruddin. "Comparative Performance Islamic Shares Mutual Funds Between Indonesia And Malaysia." Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi 13, no. 1 (2018): 26. http://dx.doi.org/10.24269/ekuilibrium.v13i1.918.

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The objective of this study is to evaluate the performance of Islamic mutual funds in Indonesia and Malaysia. Research conducted on the types of shares mutual funds in the period 2014 until 2016. The technique sample used was purposive sampling method with 13 Islamic mutual funds in Indonesia and 72 Islamic mutual funds in Malaysia. Fund performance measured by Sharpe index, Treynor index, and Index of jenesen’s Alpha. The results of this study showed in 2014 and 2016 Islamic mutual fund performance be superior to Indonesia than Malaysia. While in 2015 Islamic mutual fund performance Malaysia
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Azis, Nur Rohman, and Atina Shofawati. "PENGUKURAN METODE RASIO INFORMASI, RASIO SORTINO DAN ROY SAFETY FIRST RATIO PADA KINERJA REKSADANA SAHAM SYARIAH PERIODE 2015-2017." Jurnal Ekonomi Syariah Teori dan Terapan 6, no. 8 (2020): 1644. http://dx.doi.org/10.20473/vol6iss20198pp1644-1659.

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The Objective of this research is to identify whether there is a different level performance of mutual funds in syariah shares among Information Ratio, Sortino Ratio, and Roy Safety First Ratio. This analysis using qualitative descriptive. In this case, the authority of money service website mentions there are 21 mutual funds in syariah shares could be taken as the sample of the analysis by using purposive sampling method. Verification result is done by One-way Anova test. The measurement result of the mutual fund in syariah shares uses the method Information Ratio provides 3 mutual funds in s
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Hassan, Hafinaz Hasniyanti, and Nazimah Hussin. "Conceptual Framework for the Determinants of Mutual Fund Performance in Malaysia." Journal of Finance and Banking Review Vol. 3 (4) Oct-Dec 2018 3, no. 4 (2018): 48–53. http://dx.doi.org/10.35609/jfbr.2018.3.4(2).

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Objective - The aim of the study is to identify the determinants of mutual fund performance. Mutual funds have grown in the global financial scene since the 1890s. Past studies have examined various issues associated with mutual funds. However, in Malaysia, mutual fund related studies are rather limited. While most global researches observe the determinants of conventional mutual fund performance, the literature in Malaysia focuses only on a comparison of the performance of mutual funds. Hence, this study aims to fill that gap by providing a framework to assess the determinants of mutual fund
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Bella, Clara, and Yul Tito Permadhy. "ANALISIS PERBANDINGAN KINERJA REKSADANA SAHAM MENGGUNAKAN METODE SHARPE DAN TREYNOR PADA REKSADANA SAHAM." Jurnal Equity 21, no. 1 (2019): 49. http://dx.doi.org/10.34209/.v21i1.631.

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This study aims to determine the comparison of stock mutual fund performance using sharpe method and treynor method. The research method used in this research is descriptive method with quantitative approach. The object of this study using all mutual fund shares listed on the Indonesia Stock Exchange period 2013-2016. The technique of determining the sample using purposive sampling method so that 66 mutual funds were chosen as research sample. The results of this study explain that there are differences in the results of the performance of stock mutual funds using sharpe method and treynor met
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Bella, Clara, and Yul Tito Permadhy. "ANALISIS PERBANDINGAN KINERJA REKSADANA SAHAM MENGGUNAKAN METODE SHARPE DAN TREYNOR PADA REKSADANA SAHAM." Equity 21, no. 1 (2019): 49. http://dx.doi.org/10.34209/equ.v21i1.631.

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This study aims to determine the comparison of stock mutual fund performance using sharpe method and treynor method. The research method used in this research is descriptive method with quantitative approach. The object of this study using all mutual fund shares listed on the Indonesia Stock Exchange period 2013-2016. The technique of determining the sample using purposive sampling method so that 66 mutual funds were chosen as research sample. The results of this study explain that there are differences in the results of the performance of stock mutual funds using sharpe method and treynor met
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Avramov, Doron, Si Cheng, and Allaudeen Hameed. "Mutual Funds and Mispriced Stocks." Management Science 66, no. 6 (2020): 2372–95. http://dx.doi.org/10.1287/mnsc.2019.3319.

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We propose a new measure of fund investment skill, active fund overpricing (AFO), encapsulating the fund’s active share of investments, the direction of fund active bets with regard to mispriced stocks, and the dispersion of mispriced stocks in the fund’s investment opportunity set. We find that fund activeness is not sufficient for outperformance: high (low) AFO funds taking active bets on the wrong (right) side of stock mispricing achieve inferior (superior) fund performance. However, high AFO funds receive higher flows during periods of high investor sentiment, when the performance–flow rel
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Dissertations / Theses on the topic "Mutual fund performance research"

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Sinha, Partha Sarati. "Morningstar ratings and performance of mutual funds." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Management, 2013. http://hdl.handle.net/10133/3458.

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In this study, we examine the predictive power of Morningstar’s new ratings for mutual funds’ future performance and compare its predictive power with four competing predictors. We also examine Morningstar’s new ratings’ predictive power in bull and bear periods. Furthermore, we compare the predictive power of the new and old star-ratings. We perform all these tests for both U.S. and Canadian equity funds. We use a regression model and non-parametric tests in this study. The results suggest Morningstar’s new ratings accurately rank funds and predict out-of-sample performance of only five-star
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Weintraub, Abraham Bragança de Vasconcellos. "The performance of open-end Brazilian fixed income mutual funds for retail clients." reponame:Repositório Institucional do FGV, 2013. http://hdl.handle.net/10438/11275.

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Submitted by Abraham Weintraub (abrahambvw@gmail.com) on 2013-11-06T19:22:30Z No. of bitstreams: 1 AbrahamWeintraub_dissertação_MPA.pdf: 887510 bytes, checksum: 3bf28f60e8c4bf117132d0e01e958f40 (MD5)<br>Approved for entry into archive by Vera Lúcia Mourão (vera.mourao@fgv.br) on 2013-11-06T19:31:25Z (GMT) No. of bitstreams: 1 AbrahamWeintraub_dissertação_MPA.pdf: 887510 bytes, checksum: 3bf28f60e8c4bf117132d0e01e958f40 (MD5)<br>Made available in DSpace on 2013-11-06T20:01:43Z (GMT). No. of bitstreams: 1 AbrahamWeintraub_dissertação_MPA.pdf: 887510 bytes, checksum: 3bf28f60e8c4bf117132d0e01
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Farrell, Michael. "ESSAYS ON INVESTMENTS." UKnowledge, 2019. https://uknowledge.uky.edu/finance_etds/11.

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The first chapter studies mutual funds. I model intraquarter trading and use a genetic algorithm to estimate the trade pattern that is most consistent with the fund's daily reported returns. I validate the model empirically on a sample of institutional trades from Ancerno and I confirm that the method more accurately predicts daily holdings when compared to existing naive assumptions. Further, my method is substantially more accurate in classifying a fund's tendency to supply liquidity, and this increased precision has important implications for identifying superior performing funds. Specifica
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O'Sullivan, Niall Michael. "UK mutual fund performance." Thesis, City University London, 2006. http://openaccess.city.ac.uk/8466/.

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Using a comprehensive data set on (surviving and non-surviving) UK equity mutual funds (April 1975 - December 2002), this study uses a bootstrap methodology to distinguish between `skill' and `luck' in fund performance. This methodology allows for non-normality in the idiosyncratic risks of the funds -a major issue when considering the `best' and `worst' funds and these are the funds which investors are most interested in. The study points to the existence of genuine stock picking ability among a relatively small number of top performing UK equity mutual funds (i. e. performance which is not s
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Kazemi, Alireza. "Mutual Fund Performance : Active- and Passive Fund Management." Thesis, Jönköping University, JIBS, Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-1226.

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<p>In this thesis I will examine active equity mutual fund managers’ ability to outperform an index, which is done by utilizing a sample of four equity mutual funds that mainly invest in large Swedish quoted companies. In order to measure the risk-adjusted performance of the funds, a model created by Michael Jensen will be used. Furthermore, I will investigate whether the managers of the mutual funds increase/decrease the risk level, or rather the beta, when the stock market is bullish/bearish. Hence, two time spans have been chosen, 2001-2003 and 2004-2006, where the previous represents a bea
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Marlo, Timothy M. "Actively Managed Mutual Fund Holdings and Fund Performance." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/dissertations/1231.

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I examine mutual fund performance using three different perspectives. I begin with Mutual Fund Holdings Batting Average, in which I analyze mutual fund performance through the creation of a new variable using funds’ stock holdings information. My results show that this new variable, Holdings Batting Average, is related to the future performance of managers. My next chapter, Quarterly Mutual Fund Holdings Information and Window Dressing examines two different approaches of using holdings information. I recommend that fund holdings reported at the beginning of the quarter are more related to act
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Chehade, Ramez T. "Mutual fund performance evaluation using DEA." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0006/MQ40964.pdf.

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Ising, Alexander. "Mutual fund manager behavior and performance /." [S.l.] : [s.n.], 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018687068&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Evans, Allison L. Shackelford Douglas A. "Portfolio manager ownership and mutual fund performance." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,190.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the KenanFlagler Business School (Accounting)." Discipline: Business Administration; Department/School: Business School, Kenan-Flagler.
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Welch, Steven J. "Two Essays Relating to Mutual Fund Performance." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/590.

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In two unrelated papers, we examine different aspects of mutual fund performance and other issues. In the first chapter, we look at exchange-traded funds (ETFs) and how they differ from index funds in performance and tracking error. Using daily data and a more comprehensive sample than past research, we find abnormal returns associated with the ETFs are higher than the alphas of the index funds in most cases. The results are much more prevalent in funds that follow the S&P 500 than funds that do not. When examining the tracking errors, we find index funds are able to track their indexes
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Books on the topic "Mutual fund performance research"

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Lückoff, Peter. Mutual Fund Performance and Performance Persistence. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6527-1.

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Chehade, Ramez T. Mutual fund performance evaluation using DEA. National Library of Canada, 1998.

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David, Blake. Mutual fund performance: Evidence from the UK. London School of Economics, Financial Markets Group, 1998.

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Jones, Christopher S. Mutual fund performance with learning across funds. National Bureau of Economic Research, 2002.

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Kehoe, Anthony P. Unit-linked fund investment: A performance appraisal. University College Dublin, 1993.

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Berk, Jonathan B. Mutual fund flows and performance in rational markets. National Bureau of Economic Research, 2002.

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Lückoff, Peter. Mutual Fund Performance and Performance Persistence: The Impact of Fund Flows and Manager Changes. Gabler Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2011.

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Guercio, Diane Del. Mutual fund performance and the incentive to invest in active management. National Bureau of Economic Research, 2011.

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Lunde, Asger. Th e hazards of mutual fund performance: A cox regression analysis. London School of Economics, Financial Markets Group, 1998.

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Guercio, Diane Del. Mutual fund performance and the incentive to invest in active management. National Bureau of Economic Research, 2011.

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Book chapters on the topic "Mutual fund performance research"

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Premachandra, I. M., Joe Zhu, John Watson, and Don U. A. Galagedera. "Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach." In International Series in Operations Research & Management Science. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7684-0_7.

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Basso, Antonella, and Stefania Funari. "DEA Performance Assessment of Mutual Funds." In International Series in Operations Research & Management Science. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7684-0_8.

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Tian, Cunzhi, Qiuping Guo, and Haijun Wang. "The Performance Persistence of Mutual Fund: The Empirical Research Based on Cross-Sectional Regression." In Informatics in Control, Automation and Robotics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25899-2_26.

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Zhu, Ning. "Disappointing Mutual Fund Performance." In Financial Decision Making. Routledge, 2017. http://dx.doi.org/10.4324/9781315619859-5.

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Vishwanath, S. R. "Measuring Mutual Fund Performance." In Investment Management. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88802-4_25.

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Sekhar, G. V. Satya. "Performance of Mutual Funds." In The Indian Mutual Fund Industry. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137407993_5.

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Ber, Silke, Alexander Kempf, and Stefan Ruenzi. "The German Mutual Fund Market." In Performance of Mutual Funds. Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230626492_11.

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Lückoff, Peter. "Dynamic Aspects of Mutual Fund Performance." In Mutual Fund Performance and Performance Persistence. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6527-1_5.

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Lückoff, Peter. "Performance Measurement." In Mutual Fund Performance and Performance Persistence. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6527-1_4.

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Lückoff, Peter. "Performance Persistence." In Mutual Fund Performance and Performance Persistence. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6527-1_7.

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Conference papers on the topic "Mutual fund performance research"

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Maronrong, Ridwan, and Muhammmad Ramaditya. "Analysis of the Performance of Mutual Funds Share (as an Alternative to Investing in Indonesian Mutual Funds)." In Proceedings of the 5th Annual International Conference on Management Research (AICMaR 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/aicmar-18.2019.15.

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Liu, Yucan, and Chen Chen. "Research of performance clustering effects of open-end mutual funds in China." In 2012 9th International Conference on Service Systems and Service Management (ICSSSM 2012). IEEE, 2012. http://dx.doi.org/10.1109/icsssm.2012.6252256.

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Qamar, Hassan, and Sanjay Singh. "Mutual fund performance prediction." In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). IEEE, 2016. http://dx.doi.org/10.1109/discover.2016.7806257.

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Ye Zhao, Jamal Alsakran, and Xinlei Zhao. "Visual analysis for mutual fund performance." In 2008 IEEE Symposium on Visual Analytics Science and Technology (VAST). IEEE, 2008. http://dx.doi.org/10.1109/vast.2008.4677376.

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Alsakran, Jamal, Ye Zhao, and Xinlei Zhao. "Visual Analysis of Mutual Fund Performance." In 2009 13th International Conference Information Visualisation, IV. IEEE, 2009. http://dx.doi.org/10.1109/iv.2009.29.

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Xiao, Jun. "Market Condition and Mutual Fund Flow-Performance." In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.35.

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Alexandri, Moh Benny. "Mutual Fund Performance: Stock Selection or Market Timing." In International Conference on Economics and Banking. Atlantis Press, 2015. http://dx.doi.org/10.2991/iceb-15.2015.26.

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Nabilah, Anisah Marwah, and Gemala Dewi. "Legal Review of Sharia Mutual Fund Investment Unit Sales Through Online Application by Mutual Fund Selling Agent (APERD)." In Asia-Pacific Research in Social Sciences and Humanities Universitas Indonesia Conference (APRISH 2019). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210531.092.

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Lin, Ruiyue. "Mutual Fund Performance Dynamic Evaluation Using Data Envelopment Windows Analysis." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302087.

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Tamošiūnienė, Rima, and Indrė Slapikaitė. "The Effect of Socially Responsible Investing on Mutual Fund Performance." In The 7th International Scientific Conference "Business and Management 2012". Vilnius Gediminas Technical University Publishing House Technika, 2012. http://dx.doi.org/10.3846/bm.2012.030.

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Reports on the topic "Mutual fund performance research"

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Huang, Jennifer, Clemens Sialm, and Hanjiang Zhang. Risk Shifting and Mutual Fund Performance. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w14903.

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Jones, Christopher, and Jay Shanken. Mutual Fund Performance with Learning Across Funds. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/w9392.

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Berk, Jonathan, and Richard Green. Mutual Fund Flows and Performance in Rational Markets. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/w9275.

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Del Guercio, Diane, and Jonathan Reuter. Mutual Fund Performance and the Incentive to Generate Alpha. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17491.

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de Souza, André, and Anthony Lynch. Does Mutual Fund Performance Vary over the Business Cycle? National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18137.

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Pastor, Lubos, and M. Blair Vorsatz. Mutual Fund Performance and Flows During the COVID-19 Crisis. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27551.

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Lehmann, Bruce, and David Modest. Mutual Fund Performance Evaluation: A Comparison of Benchmarks and Benchmark Comparisons. National Bureau of Economic Research, 1985. http://dx.doi.org/10.3386/w1721.

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Reuter, Jonathan, and Eric Zitzewitz. How Much Does Size Erode Mutual Fund Performance? A Regression Discontinuity Approach. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16329.

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Barras, Laurent, Olivier Scaillet, and Russ Wermers. Reassessing False Discoveries in Mutual Fund Performance: Skill, Luck, or Lack of Power? A Reply. American Finance Association, 2020. http://dx.doi.org/10.37214/jofweb.2.

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&amp;D), academies of science, ministries of science and technology, policies, rec
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