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Emotion plays a significant role during a decision making process and greatly influence investor's behavior. This paper investigates investors' emotional perception and exemplify how these emotions may affect their judgement in investment activities. In our experiments, the participants' emotion were derived from electroencephalogram (EEG) while they were trading in the stock market. A negative emotion...
The paper describes specificity of decisions making process concerning ICT investments in public administrations. On that basis - “PICTURE” as a solution was presented. “PICTURE” is a result of European project elaborated within the EU 6th Framework Programme by twelve partners from six countries. Its purpose is to support ICT investment decisions made in European public administrations. Both co-authors...
With the rapid growth of the national investment in sewage treatment industry in China, more and more sewage treatment plants have been set up. Therefore, investment efficiency of the sewage treatment plants is of great significance. Since the traditional CCR model does not take into account "slack" of input elements, and it's unable to solve the problem of ranking efficient DMUs, this paper...
With the implementation of the enterprise big group, the big base strategy, the capital investment and the market multiplication, the specialization, the internationalization, put forward higher requirements to the group enterprise's management decision-making, The conformity existing information system platform, and take this as the foundation construction group enterprise's finance decision support...
In order to avoid the risks associated with blind investment, especially in the current financial crisis, the demand forecast for the market has become very necessary. Data mining is the use of a variety of analysis tools found in the mass data of certain models and the relationship between the process data, it has become in all walks of life to solve the problem by means of an integral, the general...
This paper examines the impacts of social factors on lenders' decision-making in online peer-to-peer (P2P) lending. Data collected from a major U.S. online loan marketplace, Prosper.com, have been analyzed. We propose a model based on preferential attachment and fragmentation to model the bidding behavior of lenders. Our data analysis presents strong empirical evidence that there were significant...
Knowledge discovery in financial databases has important implications. Decision making process on financial datasets is known to be difficult because of the complex knowledge domain and specific statistical characteristics of the data. In this paper, we investigate the decision making problem on financial datasets such as stock market fluctuations by means of financial ratio measurements while maintaining...
This paper demonstrates the use of discrete time portfolio optimization as a mechanism for introducing students to key problems in systems theory: control, system identification, model reduction, and verification. Too often students are not introduced to systems theory until very late in their programs, frequently after they have already decided on majors and generated momentum toward specific career...
This study uses data envelopment analysis (DEA) to evaluate the operational efficiency of 50 Chinese open-end funds, and makes a comparative analysis of selected fundspsila operational efficiency according to the fund size, investment type and investment style from the perspective of the overall and division. The result showed that bond funds had the maximum and stable average efficiency, hybrid funds...
In order to implement the multiple factors and multi-target assessment of real estate investment risk, a model of real estate investment risk evaluation based on fuzzy DEA method was put forward by using the relatively effective evaluation characteristic of Data Envelopment Analysis (DEA). And the feasibility of this method was verified through an example. This study offers a more rational basis for...
In this study, the new grey relational grade (GRG) method is combined with moving average autoregressive exogenous (ARX) prediction model, GM(1,N) theory and rough set (RS) theory to create an automatic stock market forecasting and portfolio selection mechanism. In the proposed approach, financial data are collected automatically every quarter and are input to an ARX prediction model to forecast the...
In this study, the weight clustering model which consists of GM(1,N) with K-means Clustering is combined with grey systems theory and rough set (RS) theory to create an automatic stock market forecasting and portfolio selection mechanism. In our proposed approach, financial data are collected every quarter and are inputted to an GM(1,1) predicting model to forecast the future trends of the collected...
According to the area of problems in risk investment policy making and its system function, decision-making model and a practical network structure for risk investment decision-making based on Set Pair Analysis (SPA) and the theory of Extension are put forward in accordance with the development of software related to the policy making supporting system.
Security development project planning is a tricky task because a security manager is not sure about what combination of effective safeguards should be implemented to prevent threats from occurring and damaging future business continuity. Such the decision making problem is necessarily accompanied with investment constraints (e.g. limited budget, positive return requirement, implementation advices)...
Unit linked insurance is a form of insurance where the policyholder bears the investment risk. The purchasing behavior of unit linked insurance follows the general model of purchasing behavior. The purchase decision here denotes only, whether to buy unit linked insurance or not. We select four environmental stimuli, i.e., changes of life stage, scourge, accident and depression, as explanatory variables...
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