Abstract. As Initial Public Offering (IPO) is a significant milestone in the financial strategy of a firm, this study aims to evaluate performance of IPOs using multiple measures including accounting-based performance (ABP), value-based performance (VBP) and overall performance (OP) in the pre-and post-IPO periods. Therefore, we present two combined approaches based on a compromise MCDM method-VIKOR and objective weighting methods-CRITIC and MW (Mean Weight) to evaluate and rank IPOs to help shareholders with understanding on how their performance changes under the different measures. Since the compromise solution (one or a set) proposed by VIKOR depends substantially on criteria weights, VIKOR-CRITIC can show more realistic results because of the differential weights assigned to criteria by CRITIC. In this study, a case study is conducted in order to evaluate the performance of Turkish IPOs based on ABP, VBP and OP measures using the combined methods. The results show that the compromise solution results obtained by VIKOR-CRITIC may be a guideline for investors in making more profitable investment decisions before leaping into any investment decision.
The objective of this study is to test, instead of the single factor CAPM, the power of three factor, four factor and five factor models to explain stock returns for the Istanbul Stock Exchange (ISE). The test results of all models in the ISE indicate that the models are applicable. During the period covering July 1992-June 2011 it is consequently established that, in addition to the market risk, size, book to market ratio, momentum and liquidity factors also constitute significant risk factors that affect the expected stock returns in the ISE and that the risk premiums belonging to these five factors are priced by the market.
Above all, this study is original in that it reveals the efficiency and productivity of banks exposed to the current pandemic situation. The aim of this study is to evaluate bank efficiency and productivity of commercial banks operating in Turkey pre- and during COVID-19 by using a novel integrated multi-criteria decision-making (MCDM) approach. We divided the banks into three groups in order to evaluate the differences in terms of their efficiency and productivity: state banks, foreign banks and private domestic banks. This paper fills a gap in the literature by using a novel integrated MCDM approach including SWARA II as a subjective weighting method, MEREC as an objective weighting method, and MARCOS as a ranking method to evaluate bank efficiency and productivity. The results reveal that banks with foreign investors achieved higher productivity than other bank groups and the productivity of state banks decreased especially during the COVID-19 period. It should also be noted that state banks are restricted to certain political objectives.
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