PERFORMANCE EVALUATION OF TURKISH TYPE A MUTUAL FUNDS AND PENSION STOCK FUNDS BY USING TOPSIS METHOD
─Abstract ─ In this paper, it is evaluated performance of Turkish Type A mutual funds and pension stock funds by using TOPSIS method which is a multicriteria decision making approach. Both of these funds compose of stocks in their portfolios, so it can be enabled to compare each other. Generally, mutual or pension funds are evaluated according to their risk and return. At this point, it is used traditional performance measurement techniques of funds like Sharpe ratio, Sortino ratio, Treynor index and Jensen’s alpha. TOPSIS method takes into consideration all of these fund performance measurement techniques and provides more reasonable performance measurement.
With the prevalence of data online, consumers increasingly shop not only for the product that best fits their needs, but also for the best time to purchase the product in order to reduce its cost. In line with this behavior, ecommerce websites often not only offer products, but also provide analytics based statements and recommendations relating to the best time to purchase a perishable product (e.g., air travel). This study examines the effects of such purchase timing statements and recommendations on consumers’ trusting beliefs in the recommendation facility. Our theoretical background comes from Toulmin’s (1958) argumentation model and the literature related to the role of explanation facilities in enhancing consumers’ trust. Results from our pilot study show evidence for the different roles Toulmin elements have, serving as explanation facilities in the context of predictive analytics.