8 research outputs found

    Multi Criteria Analysis for Selecting Sharia Capital Market Management Investment Using ANP

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    The society orientation has shifted from a saving-oriented society to an investing-oriented society. Currently, investors have many choices of investment instruments to invest in the Islamic capital market. Previous studies have shown the factors that influence the capital market and influence investors' decisions to invest in the capital market. This study uses the Analytic Network Process (ANP) method to (1) determine the criteria that need to be taken into consideration in choosing an Islamic capital market investment instrument. (2) knowing the ideal investment instrument based on established criteria. The criteria used in this study include seven criteria, namely: investment performance criteria, risk criteria, liquidity criteria, macroeconomic factor criteria, individual circumstance criteria, psychological factor criteria, and demographic criteria. The respondents in this study were five experts from academics, practitioners, and regulator. The major findings of the research are (1) the criteria to be considered in choosing Islamic capital market investment instruments are divided into investor criteria and capital market criteria. Investor criteria include; psychological factors (motivation and self control), individual circumtances (financial literacy), demographics (income and education). Capital market criteria include: investment performance (capital gain, yield, and fundamental analysis), risk (financial risk, market risk and management risk), macroeconomic factors (exchange rates and gross domestic product), liquidity (liquidity ratio). (2) the alternative with the highest priority is sharia mutual funds, then sukuk and sharia stocks

    A credibilistic mean-semivariance-PER portfolio selection model for Latin America

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    Many real-world problems in the financial sector have to consider different objectives which are conflicting, for example portfolio selection. Markowitz proposed an approach to determine the optimal composition of a portfolio analysing the trade-off between return and risk. Nevertheless, this approach has been criticized for unrealistic assumptions and several changes have been proposed to incorporate investors’ constraints and more realistic risk measures. In this line of research, our proposal extends the mean-semivariance portfolio selection model to a multiobjective credibilistic model that besides risk and return, also considers the price-to-earnings ratio to measure portfolio performance. Uncertain future returns and PER ratio of each asset are approximated using L-R power fuzzy numbers. Furthermore, we consider budget, bound and cardinality constraints. To solve the constrained portfolio optimization problem, we use the algorithm NSGA-II. We assess the proposed approach generating a portfolio with shares included in the Latin American Integrated Market. Results show that this new approach is a good alternative to solve the portfolio selection problem when multiple objectives are considered

    Updated discussions on ‘Hybrid multiple criteria decisionmaking methods: a review of applications for sustainability issues’

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    A recent review discussed a variety of hybrid multiple criteria decision-making (H.M.C.D.M.) methods on the subject of sustainability issues. Some soft computing techniques, such as the fuzzy set, have contributed significantly to H.M.C.D.M. studies, emulating the imprecise or uncertain judgments of experts/decision makers in a complex environment. Nevertheless, a new rising trend in H.M.C.D.M., known as multiple rule-based decision-making (M.R.D.M.), which has the advantage of revealing understandable knowledge for supporting systematic improvements based on influential network relation maps (I.N.R.M.), was not discussed in the review. This study therefore attempts to extend the review by introducing recent developments and the associated work on M.R.D.M. for solving practical problems, updating the discussion

    İK2018 17th Internationally Participated Business Congress, 26-28 April 2018, Çeşme, İzmir

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    Çevrimiçi (XLV, 2055 sayfa )26-28 Nisan 2018 tarihlerinde Çeşme’de düzenlenen, 17. Uluslararası Katılımlı işletmecilik Kongresi’nin İzmir Katip Çelebi Üniversitesi, iktisadi ve idari Bilimler Fakültesi, işletme Bölümü ev sahipliğinde gerçekleştirilmesinden dolayı büyük bir mutluluk ve onur duyduk. Türkiye’de işletmecilik alanında uzun süredir başarıyla gerçekleştirilen ‘İşletmecilik Kongresi’ 17. Oturumunda uluslararası bir nitelik kazandırılarak gerçekleştirilmiştir. Bu vesile ile kongrenin 17. Oturumu ‘Uluslararası Katılımlı İşletmecilik Kongresi’ olarak tanımlanmıştır. Kongrenin bu niteliği kazanmasında katkıları olan herkese teşekkür ederiz. Umut ederiz ki bu kıymetli kongrenin ileriki oturumlarının da bu nitelikte gerçekleşmesidir. 17. Uluslararası İşletmecilik Kongresi’ne akademi, iş dünyası, sivil toplum kuruluşları ve bireysel olarak yaklaşık 700 katılımcı ilgi göstermiştir. Kongrede sunulmak üzere 400’den fazla çalışma tarafımıza ulaşmıştır. Bu çalışmalardan kongrede sunumu yapılan 236 tane tebliğ bu kitapta yer almaktadır. Kongrenin düzenlenmesi sırasında her zaman desteklerini hissettiğimiz Danışma Kurulu değerli üyelerine, bildiri tam metin ve özetlerini dikkatle ve özenle değerlendiren Bilim Kurulu üyelerine ve kongre sponsorlarına çok teşekkür ederiz. Prof.Dr. Hayrettin USUL 17. Uluslararası Katılımlı İşletmecilik Kongresi Dönem Başkan

    Odabir konkurentskih strategija u europskom bankarskom sektoru primjenom pristupa hibridnog odlučivanja

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    Strategic planning is an eJective tool for long-term planning and utilized by organizations and industries to achieve competitive advantage. Addressing difculties that the European banking sector struggled during and after the global financial crisis (GFC), the purpose of this paper is to raise important questions about the sustainability of the sector and oJers competitive strategy formulations for European policy makers. Empirical findings are accomplished by applying a three phase analysis of SWOT, an integrated model of DEMATEL-ANP (DANP), and fuzzy TOPSIS. Empirical findings from the SWOT analysis suggest a total of twelve factors, which are then incorporated to formulate four strategies. The DANP results illustrate that opportunities dimension has the highest impact and strengths has the lowest among others. The fuzzy TOPSIS results demonstrate that “the European Banking Union (EBU) is expected to remove divergence in the Euro area banking sector” is the most important strategy, whilst “the non-risk based leverage ratio (LR) requirement by Basel III” has the weakest importance among the strategy preferences.Strateško planiranje je učinkovit alat za dugoročno planiranje koje primjenjuju organizacije i industrije za postizanje konkurentske prednosti. S obzirom na poteškoće s kojima se europski bankarski sektor suočava za vrijeme i nakon globalne financijske krize (GFC), svrha ovog rada je podići važna pitanja o održivosti sektora i ponuditi formulacije konkurentnih strategija za europske kreatore politike. Empirijski rezultati postižu se primjenom SWOT analize u tri faze, integriranog modela DEMATEL-ANP (DANP) i ‘fuzzy’ (neizrazitog) TOPSIS-a. Empirijski rezultati SWOT analize ukazuju na ukupno dvanaest čimbenika, koji su potom uključeni u formuliranje četiri strategije. DANP rezultati potvrđuju da faktor prilika ima najveći utjecaj, a snage imaju najniži utjecaj u odnosu na ostala tri faktora. Neizraziti rezultati TOPSIS-a pokazuju da najvažnija strategija jest da “Europska bankovna unija (EBU) ukloni odstupanja u bankarskom sektoru u eurozoni”, dok “zahtjev Basel-a III o nerizičnom omjeru financijske poluge (LR)” ima najmanju važnost medu strategijskim prioritetima

    A Hybrid Grey based Two Steps Clustering and Firefly Algorithm for Portfolio Selection

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    Considering the concept of clustering, the main idea of the present study is based on the fact that all stocks for choosing and ranking will not be necessarily in one cluster. Taking the mentioned point into account, this study aims at offering a new methodology for making decisions concerning the formation of a portfolio of stocks in the stock market. To meet this end, Multiple-Criteria Decision-Making, Data Mining, and Multi-objective Optimization were employed. First, candidate stocks were clustered using two-step clustering method. Available stocks in each cluster were independently ranked using grey relational analysis. Firefly algorithm was employed for Pareto analysis of risk and ranking. The results of clustering in the stocks revealed that all candidate stocks were not placed in one cluster. The results of robustness analysis employed in ranking method verified the accuracy of calculations in the grey relational analysis through stock repetition of candidates in each cluster

    Combining DRSA decision-rules with FCA-based DANP evaluation for financial performance improvements

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    This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find decision rules associated with FP changes. Companies may identify its underperformed criterion (gap) to conduct formal concept analysis (FCA) – by implication rules – to explore the source criteria regarding the underperformed gap. The source criteria are analysed by decision making trial and evaluation laboratory (DEMATEL) technique to explore the cause-effect relationship among the source criteria for guiding improvements; in the next, DEMATEL-based analytical network process (DANP) can provide the influential weights to form an evaluation model, to select or rank improvement plans. To illustrate the proposed method, the financial data of a real semiconductor company is used as an example to show the involved processes: from performance gaps identification to the selection of five assumed improvement plans. Moreover, the obtained implication rules can integrate with DEMATEL analysis to explore directional influences among the critical criteria, which may provide rich insights and managerial implications in practice. First published online: 17 Sep 201

    A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

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    The construction of bridges has been necessary for societies since ancient times, when the communication between and within towns, cities or communities was established. Until recently, the economic factor has been the only one considered in the decision-making of any type of construction process for bridges. However, nowadays, the objective should not be just the construction of bridges, but of sustainable bridges. Economic, social and environmental factors, which form the three pillars of sustainability, have been recently added. These three factors usually have conflicting perspectives. The decision-making process allows the conversion of a judgment into a rational procedure to reach a compromise solution. The aim of this paper is to review different methods and sustainable criteria used for decision-making at each life-cycle phase of a bridge, from design to recycling or demolition. This paper examines 77 journal articles for which different methods have been used. The most used methods are briefly described. In addition, a statistical study was carried out on the Multiple Attribute Decision-making papers reviewed.The authors acknowledge the financial support of the Spanish Ministry of Economy and Competitiveness, along with FEDER funding (BRIDLIFE Project: BIA2014-56574-R). In addition, the authors wish to thanks the comments of Dan M. Frangopol from Center for Advanced Technology for Large Structural Systems.Penadés-Plà, V.; García-Segura, T.; Martí Albiñana, JV.; Yepes, V. (2016). A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design. Sustainability. 8(12):1295-01-1295-21. https://doi.org/10.3390/su8121295S1295-011295-2181
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