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WE DECOMPOSE INDIVIDUAL INVESTORS’ PORTFOLIO RETURNS INTO PASSIVE BENCHMARK RETURNS, ACTIVE SECURITY SELECTION RETURNS, AND ACTIVE MARKET TIMING RETURNS. FOR THE AVERAGE INVESTOR IN OUR SAMPLE, PASSIVE BENCHMARK RETURNS EXPLAIN SOME 40% OF VARIATION IN LONGITUDINAL PORTFOLIO RETURNS, SECURITY SELECTION EXPLAINS AN ADDITIONAL 50%, AND MARKET TIMING PLAYS ONLY A MINOR ROLE. THIS STANDS IN STARK CONTRAST TO EARLIER RESULTS ON INSTITUTIONAL INVESTORS WHERE PASSIVE BENCHMARK RETURNS (REFLECTING DIFFERENT ASSET ALLOCATION STRATEGIES) EXPLAIN OVER 90%. THE PREDOMINANCE OF SECURITY SELECTION COMES AT A COST FOR INDIVIDUAL INVESTORS: INVESTORS FROM THE HIGHEST QUINTILE IN TERMS OF SECURITY SELECTION ACTIVITY UNDERPERFORM THEIR PEERS FROM THE LOWEST QUINTILE BY MORE THAN 10 PERCENTAGE POINTS PER YEAR. TRANSACTION COSTS EXPLAIN ONLY PART OF THIS UNDERPERFORMANCE. THE LESS INVESTORS DIVERSIFY, THE WORSE THEY DO.
WE STUDY WHETHER PRIVATE EQUITY (PE) FIRMS HAVE A POSITIVE IMPACT ON THE FINANCIAL PERFORMANCE OF THEIR GERMAN PORTFOLIO COMPANIES BEFORE AND AFTER THE IPO. OUR EMPIRICAL ANALYSIS IS BASED ON A UNIQUE AND LARGE DATASET OF ALL IPOS IN GERMANY BETWEEN 2000 AND 2007. WE FIND THAT PE FIRMS SELECT COMPANIES WITH BELOW AVERAGE PERFORMANCE AND THEN IMPROVE PERFORMANCE SUBSTANTIALLY UNTIL THE IPO DATE AND IN MANY CASES ALSO THEREAFTER. THIS IMPLIES THAT PE FIRMS FILL A VOID ALSO IN GERMAN FINANCIAL MARKETS AND THAT THEY WILL ALSO PLAY A FUTURE ROLE IN FINANCING GERMAN ENTERPRISES.
INDIVIDUAL INVESTORS ARE REPEATEDLY FOUND TO UNDERPERFORM RELATIVE TO A MARKET INDEX. BESIDES EXCESSIVE TRADING, LITTLE IS KNOWN WHEN RETAIL INVESTORS COLLECTIVELY LOSE. THIS ARTICLE SHOWS THAT TRADING IN SHORT-SELLING CONSTRAINED, VOLATILE STOCKS AROUND EARNINGS ANNOUNCEMENTS IS COSTLY TO INDIVIDUAL INVESTORS. THE EFFECT IS PARTICULARLY PRONOUNCED FOR LESS SOPHISTICATED INVESTORS.
THE FINANCIAL SERVICES INDUSTRY IS OPERATING IN HIGHLY VOLATILE MARKETS.
TO CONSIDER THE IMPACT OF UNCERTAIN MARKET ENVIRONMENTS ON INAND OUTSOURCING DECISIONS, WE INTRODUCE A REAL OPTIONS BASED DECISION SUPPORT MODEL. WE APPLY THE MODEL TO AN IT INFRASTRUCTURE OUTSOURCING DECISION AND DETERMINE - BASED ON COST SAVINGS RESULTING FROM OUTSOURCING AND OPTION VALUES ACCOUNTING FOR UNCERTAINTY - DIFFERENT “TRIGGER” OUTPUT VOLUMES WHICH INDICATE IF IN- OR OUTSOURCING IS PREFERABLE. FINALLY WE SHOW THAT THE MODEL CAN ALSO BE TRANSFERRED TO SOURCING DECISIONS OF TRANSACTION BASED BUSINESS PROCESSES LIKE CLEARING AND SETTLEMENT OF SECURITIES.
ROBO-ADVICE HAS THE POTENTIAL TO DISRUPT THE MARKET FOR FINANCIAL ADVICE. ALGORITHMS ALREADY DELIVER LOW-COST, AUTOMATIC, AND STANDARDIZED INVESTMENT GUIDANCE TO CLIENTS FROM ALL WEALTH LEVELS AND ESPECIALLY TO THOSE PREVIOUSLY EXCLUDED FROM PERSONAL FACE-TO-FACE ADVICE. TODAY’S OFFERINGS CONCENTRATE ON CONVENIENCE AND COMPLEXITY REDUCTION, COUPLED WITH PASSIVE INVESTMENTS. THE NEXT STEP WILL ADVANCE ALGORITHMS TO DELIVER TAILOR-MADE DECISION SUPPORT FOR THE GROWING NUMBER OF SELF-DIRECTED INVESTORS. THIS ARTICLE PRESENTS REAL-LIFE EMPIRICAL RESULTS ON THE INTRODUCTION OF A PORTFOLIO OPTIMIZATION TOOL THAT GUIDES BROKERAGE CLIENTS TOWARDS INDIVIDUAL OPTIMAL PORTFOLIOS.