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1

Michigan. Office of the Auditor General. Performance audit of the 21st Century Jobs Trust Fund programs: Michigan Strategic Fund. Lansing, Michigan: State of Michigan, Office of the Auditor General, 2013.

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Michigan. Office of the Auditor General. Performance audit of the 21st Century Jobs Trust Fund programs: Michigan Strategic Fund and Strategic Economic Investment and Commercialization Board. Lansing, Mich: Michigan Office of the Auditor General, 2010.

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3

Sports Council for Northern Ireland. Lottery Sports Fund: Pathways to participation and performance : a strategy for the distribution of lottery monies 1999-2002. Belfast: Sports Council for Northern Ireland, 1999.

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4

Michigan State Housing Development Authority. Performance audit of homeownership programs: Michigan State Housing Development Authority, Michigan Strategic Fund. Lansing, Michigan]: Michigan Office of the Auditor General, 2014.

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5

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

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6

Tran, Vinh Quang. Evaluating Hedge Fund Performance. New York: John Wiley & Sons, Ltd., 2006.

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7

Tran, Vinh Q., ed. Evaluating Hedge Fund Performance. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119201182.

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8

Evaluating hedge fund performance. Hoboken, N.J: Wiley, 2006.

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9

Ghobadian, Abby, Nicholas O’Regan, David Gallear, and Howard Viney, eds. Strategy and Performance. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230523135.

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10

Adams, A. T. Fund turnover and investment performance. Edinburgh: University of Edinburgh, Centre for Financial Markets Research, Dept. of Business Studies, 1997.

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11

Colorado. Office of State Auditor. State Historical Fund performance audit. [Denver, Colo: Office of State Auditor, 1997.

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12

Claiborne, Gifford. Fund raising banquet: A strategy manual. Diamond Bar, Calif: Christian Ministries Management Association, 1988.

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13

Moorman, Christine. Assessing marketing strategy performance. Cambridge, Mass: Marketing Science Institute, 2004.

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14

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

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15

Truman, Edwin M. A strategy for IMF reform. Washington, DC: Institute for International Economics, 2005.

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16

A strategy for IMF reform. Washington, DC: Institute for International Economics, 2006.

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17

Colorado. Office of State Auditor. Highway users tax fund performance audit. [Denver, Colo.] (1365 Logan St., Denver 80203): [Office of State Auditor, 1994.

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18

Control, New York (State) Dept of Audit and. State University Construction Fund, performance indicators. [Albany, N.Y: The Division, 1994.

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19

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

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20

Birkholz, Joshua. Fundraising analytics: Using data to guide strategy. Hoboken, N.J: John Wiley & Sons, 2008.

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21

Birkholz, Joshua. Fundraising analytics: Using data to guide strategy. Hoboken, N.J: John Wiley & Sons, 2008.

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22

Strategy, structure, and economic performance. Boston, Mass: Harvard Business School Press, 1986.

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23

Strecker, Nanja. Innovation Strategy and Firm Performance. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9481-3.

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24

T, Abed George, Gupta Sanjeev, and International Monetary Fund, eds. Governance, corruption & economic performance. Washington, D.C: International Monetary Fund, 2002.

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25

Q, Robinson Laudy, ed. Grantseeking: Art, science, strategy. Fort Washington, PA: Covenant Matters Press, 2004.

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26

Craig, Gary. Replacing the Social Fund: A strategy for reform. (York): (Social Policy Research Unit, University of York), 1993.

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27

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

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28

Stanley, Robert G. Performance-based measures in transit fund allocation. Washington, D.C: National Academy Press, 2004.

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29

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

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30

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

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31

Nigeria against the I.M.F.: The home market strategy. Kaduna: Vanguard, 1986.

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32

Nsouli, Saleh M. Institutions, program implementation, and macroeconomic performance. [Washington D.C.]: International Monetary Fund, IMF Institute and Middle East and Central Asia Dept., 2004.

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33

George, James A. Smart data: Enterprise performance optimization strategy. Hoboken, N.J: John Wiley & Sons, 2010.

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34

Branch strategy taxonomy and performance models. Los Alamitos, CA: IEEE Computer Society Press, 1992.

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35

George, James A. Smart data: Enterprise performance optimization strategy. Hoboken, N.J: John Wiley & Sons, 2010.

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36

Bolton Metropolitan Borough Council. Social Services Department. Strategy and performance plan 2001-2004. Bolton: Bolton Metro, 2002.

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37

George, James A. Smart data: Enterprise performance optimization strategy. Hoboken, N.J: John Wiley & Sons, 2010.

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38

1952-, Rodger James A., ed. Smart data: Enterprise performance optimization strategy. Hoboken, N.J: John Wiley & Sons, 2010.

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39

1948-, Balkin David B., ed. Compensation, organizational strategy, and firm performance. Cincinnati, Ohio: South-Western Pub. Co., College Division, 1992.

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40

author, Sangem Santosh, and Sethi Madhvi author, eds. Indian business groups: Strategy and performance. New Delhi: Foundation Books, 2015.

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41

Yu, Yu, Yao Chen, and Qinfen Shi. Strategy and Performance of Knowledge Flow. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77926-3.

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42

George, James A. Smart data: Enterprise performance optimization strategy. Hoboken, N.J: John Wiley & Sons, 2010.

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43

Béreau, Sophie, Jean-Yves Gnabo, Malik Kerkour, and Hélène Raymond. Sovereign Wealth Fund Investments and Industry Performance. Edited by Douglas Cumming, Geoffrey Wood, Igor Filatotchev, and Juliane Reinecke. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198754800.013.7.

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In the past decade, sovereign wealth funds (SWFs) have been very active in western economies with massive liquidity injections and numerous stakes in various strategic areas. While a vast literature has documented their influence on firms’ behavior and equity valuation, their impact on the whole economy has been largely unexplored. This chapter investigates the aggregate impact of SWFs’ investments at the industrial level. Using a panel of ten European countries from 2006 to 2012, a relevant instrumental variables strategy is used to circumvent potential double causality between returns of the recipient countries’ stock market indices and SWFs’ investments. The results show a positive and significant impact of SWFs’ investments for five sectoral indices out of ten. Looking at conditional effects, it does not find that this relationship is affected by either the availability of alternative sources of financing in the economy—consistent with the liquidity argument—or different volatility regimes.
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44

Sherman, Mila Getmansky, and Rachel (Kyungyeon) Koh. The Life Cycle of Hedge Funds. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607371.003.0003.

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This chapter analyzes the life cycle of hedge funds. Analysis using the Thomson Reuters Lipper TASS database reveals industry-related and fund-specific factors affecting the survival probabilities of hedge funds. Analysis of hedge fund flows and asset sizes can offer insights into a fund’s future survival. Fund performance is a nonlinear function of a fund’s asset size. A fund can obtain an optimal asset size by balancing the effects of past returns, fund flows, market impact, and competition. Competition among hedge funds using similar strategies presents challenges. To survive, funds employ dynamic strategies, move nimbly from market to market, and develop unique strengths. Being an effective market and strategy timer is critical because funds using the right strategy at the right time are more likely to survive. The chapter also analyzes the last stage of the hedge fund life cycle—liquidation or closure. Fund characteristics, risk measures, and style-related factors can help predict fund liquidation.
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45

McCumber, William R., and Jyotsaana Parajuli. Style Analysis and Consistency. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607371.003.0028.

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This chapter explores the degree to which hedge funds’ performance is attributable to a self-declared style that broadly describes managers’ primary investment focus. Hedge funds’ self-declared styles and strategies are meant to be descriptive and to attract investor capital seeking exposure to that strategy and opportunity. Hedge fund strategies have evolved as managers uncover and exploit new opportunities. In practice, even when a majority of investor capital is dedicated to a primary strategy, managers complement a primary strategy with other positions in an attempt to earn positive returns. The freedom with which managers can operate regarding regulation and the breadth of financial instruments available make long-term and clear categorization of hedge fund styles difficult. Although research shows that many funds consistently deliver superior returns in a given style, many also deliver alpha, a positive return that is not attributable to any style or risk factor.
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46

Malaysia Mutual Fund Performance. Bingley: Emerald Group Publishing Limited, 2008.

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47

Tran, V. Q., and Vinh Q. Tran. Evaluating Hedge Fund Performance. Wiley & Sons, Incorporated, John, 2007.

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48

Schneeweis, Thomas, and Vinh Q. Tran. Evaluating Hedge Fund Performance. Wiley & Sons, Incorporated, John, 2008.

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49

Smith, David M. Evaluating Hedge Fund Performance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607371.003.0023.

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A diverse set of measures allow investors to evaluate hedge fund portfolio managers’ performance across different dimensions. The various measures quantify the effectiveness of security selection; account for investor flows, operating risk, and worst-case investment scenarios; net out benchmark and peer-fund performance; and control for risk factors that are unique to hedge fund investment strategies. Hedge fund return information in published databases is usually self-reported, which is a conflict of interest that produces several reporting biases and inflated published average returns. After adjusting for these biases, hedge fund average returns trail equity market returns and in fact almost exactly equal U.S. Treasury bill average returns between January 1994 and March 2016. Yet, after risk adjustment, the hedge fund performance picture brightens. In the aggregate, hedge funds have higher Sharpe ratios and multifactor alphas, and lower maximum drawdown levels than equity market benchmarks.
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50

Schneeweis, Thomas, and Vinh Q. Tran. Evaluating Hedge Fund Performance. Wiley & Sons, Limited, John, 2015.

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