Refine
Year of publication
Document Type
- Article (14)
- Working Paper (7)
- Part of Periodical (4)
Has Fulltext
- yes (25)
Is part of the Bibliography
- no (25)
Keywords
- Private Investment (4)
- Consumers (2)
- Household Finance (2)
- Household finance (2)
- Investments (2)
- Investor Protection (2)
- Trading (2)
- individual investor (2)
- individual investors (2)
- trading behavior (2)
Institute
IN THE PAST YEARS THE CUSTOMER FEEDBACK METRIC RECOMMENDATION INTENTION HAS GAINED IMPORTANCE, ESPECIALLY DUE TO THE WIDESPREAD CONCEPT NET PROMOTER SCORE (NPS). THE NPS CONCEPT IMPLIES A POSITIVE, NON-LINEAR RELATIONSHIP BETWEEN RECOMMENDATION INTENTION AND CUSTOMER VALUE. THIS ARTICLE INVESTIGATES THE RELATIONSHIP BETWEEN RECOMMENDATION INTENTION OF INDIVIDUAL CUSTOMERS AND THEIR VALUE FOR THE FIRM. THE RESULTS SHOW THAT RECOMMENDATION INTENTION SIGNIFICANTLY INCREASES CONTRIBUTION MARGIN BUT NEITHER RETENTION NOR CUSTOMER VALUE. THE METRIC SATISFACTION HAS A SIGNIFICANT, POSITIVE IMPACT ON CUSTOMER VALUE AND CAN THUS BE USED AS A LEADING INDICATOR. THEREFORE, THE RESULTS DO NOT CONFIRM THE SUPERIORITY OF THE NPS CONCEPT FOR CUSTOMER MANAGEMENT.
THIS STUDY INVESTIGATES WHAT HAPPENS WHEN RETAIL CUSTOMERS ARE OFFERED FREE AND UNBIASED ADVICE. USING A LARGE FIELD EXPERIMENT IT SHOWS THAT THOSE WHO ACCEPT THE OFFER (5%) ARE MORE LIKELY TO BE MALE, OLDER, WEALTHIER, MORE EXPERIENCED AND MORE FINANCIALLY SOPHISTICATED. HOWEVER, EVEN THOUGH THE ADVICE WOULD HAVE HELPED, IT ACTUALLY LARGELY FAILED TO HELP BECAUSE THE CUSTOMERS DID NOT LISTEN TO IT. OVERALL, OUR RESULTS SUGGEST THAT THE MERE AVAILABILITY OF UNBIASED FINANCIAL ADVICE IS A NECESSARY BUT NOT SUFFICIENT CONDITION FOR BENEFITING RETAIL CUSTOMERS.
Vielfältige Einschnitte im Rentensystem haben die Bedeutung der privaten Altersvorsorge in den vergangenen Jahren massiv erhöht. Neben Immobilienbesitz, Lebensversicherungen und staatlich geförderten Programmen zur privaten Vorsorge hat sich inzwischen auch die eigenverantwortliche Altersvorsorge mit Wertpapierdepots etabliert, so dass die Anzahl privater Depots in den letzten 25 Jahren von 8,0 auf 27,9 Millionen gestiegen ist. Vor diesem Hintergrund ist die Frage von zentraler Bedeutung, wie gut Anleger ihr Geld investieren.
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.
RECENTLY, PASSIVE ETFS AND INDEX FUNDS HAVE BECOME POPULAR AMONG INDIVIDUAL INVESTORS. IN OUR STUDY, WE INVESTIGATE WHETHER INDIVIDUAL INVESTORS BENEFIT FROM USING THEM. WITH DATA FROM ONE OF THE LARGEST BROKERAGES IN GERMANY, WE FIND THAT INDIVIDUAL INVESTORS WORSEN THEIR PORTFOLIO PERFORMANCE AFTER USING THESE PRODUCTS IN COMPARISON TO NON-USERS. SINCE THESE SECURITIES MAKE MARKET TIMING EASIER, FURTHER ANALYSIS REVEALS THAT THE DECREASE IN USERS’ PORTFOLIO PERFORMANCE IS PRIMARILY DUE TO BAD MARKET TIMING.
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.
Microeconomic modeling of investors behavior in financial markets and its results crucially depends on assumptions about the mathematical shape of the underlying preference functions as well as their parameterizations. With the purpose to shed some light on the question, which preferences towards risky financial outcomes prevail in stock markets, we adopted and applied a maximum likelihood approach from the field of experimental economics on a randomly selected dataset of 656 private investors of a large German discount brokerage firm. According to our analysis we find evidence that the majority of these clients follow trading pattern in accordance with Prospect Theory (Kahneman and Tversky (1979)). We also find that observable sociodemographic and personal characteristics such as gender or age don't seem to correlate with specific preference types. With respect to the overall impact of preferences on trading behavior, we find a moderate impact of preferences on trading decisions of individual investors. A classification of investors according to various utility types reveals that the strength of the impact of preferences on an investors' rading behavior is not connected to most personal characteristics, but seems to be related to round-trip length.
Shortcomings revealed by experimental and theoretical researchers such as Allais (1953), Rabin (2000) and Rabin and Thaler (2001) that put the classical expected utility paradigm von Neumann and Morgenstern (1947) into question, led to the proposition of alternative and generalized utility functions, that intend to improve descriptive accuracy. The perhaps best known among those alternative preference theories, that has attracted much popularity among economists, is the so called Prospect Theory by Kahneman and Tversky (1979) and Tversky and Kahneman (1992). Its distinctive features, governed by its set of risk parameters such as risk sensitivity, loss aversion and decision weights, stimulated a series of economic and financial models that build on the previously estimated parameter values by Tversky and Kahneman (1992) to analyze and explain various empirical phenomena for which expected utility doesn't seem to offer a satisfying rationale. In this paper, after providing a brief overview of the relevant literature, we take a closer look at one of those papers, the trading model of Vlcek and Hens (2011) and analyze its implications on Prospect Theory parameters using an adopted maximum likelihood approach for a dataset of 656 individual investors from a large German discount brokerage firm. We find evidence that investors in our dataset are moderately averse to large losses and display high risk sensitivity, supporting the main assumptions of Prospect Theory.
In a field study with more than 1.500 customers of an online-broker we test what happens when investors receive repeated feedback on their investment success in a monthly securities account report. The reports show investors’ last year’s returns, costs, their current level of risk and their portfolio diversification. We find that receiving a report results in investors trading less, diversifying more and having higher risk-adjusted returns. Results are robust to controlling for potential play money accounts and changes in report designs. We also find that investors who are less likely to subscribe equally benefit from the report.