Decision making on financial investment in Turkey by using ARDL long-term coefficients and AHP

Mathematical modeling methods are frequently used for solving everyday problems.Decision making,one such method,can be used in every aspect of life for different scales such as micro(households),medium(companies),and macro(states)decisions.Due to the large number of parameters affecting decision,it is possible to make mistakes in the selection of the appropriate investment instrument with classical methods;hence,scarce resources may be wasted,and sometimes it may even be impossible to make a decision.This study seeks to answer the question“Which financial investment instrument should be selected under the current conditions?”using decision making problems.Factors affecting gold,USD,and EURO,which are selected as the financial investment instruments in Turkey,are examined using the autoregressive distributed lag(ARDL)bound test.The selected variables are monthly and belong to the January 2009 to May 2018 period.The ARDL results show that the selected financial investment instruments are affected by most of the factors separately.By using the coefficients obtained from the ARDL model,the analytic hierarchy process(AHP)model was established.According to the results of the model,the EURO was determined as the most suitable financial investment for Ahmet and others with the same preferences.

A Dynamic Programming Algorithm on Project- Gang Investment Decision Making

The investment decision making of Project Gang, the projects that are associated with one another on economy and technique, is studied. In order to find out the best Scheme that can make the maximum profit, a dynamic programming algorithm on the investment decision making of Project Gang is brought forward, and this algorithm can find out the best Scheme of distributing the m resources to the n Items in the time of O(m 2 n).

Application of PPC Model Based on RAGA in Real Estate Investment Decision-Making

According to the size of the projector function to evaluate the merits of the program, Projection Pursuit method is applied to real estate investment decision-making by using the real coding based on Accelerating Genetic Algorithm (RAGA) to optimize the Projection Pursuit Classification (PPC) process and a wide range of indicators value was projected linearly. The results are reasonable and verified with an example. At the same time, the subjective of the target weight can be avoided. It provides decision-makers with comprehensive information on all the indicators of new ideas and new

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech‑based clean energy investment projects

This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.

Electroencephalographic Activity Associated to Investment Decisions: Gender Differences

Literature in finance and neurosciences shows that male and female differ in many relevant issues concerning financial decision investment. Here, we studied the EEG activity recorded while volunteers were playing a stock trading game to investigate these gender differences. 20 males and 20 females made 100 trading decisions using a portfolio of 200 shares of 7 different companies. Males and females were equally successful in earning above the market. sLORETA was used to identify sources of EEG recorded 2 seconds before trading decision. Results showed that male and female used different sets of neuron to make equally successful financial decisions.

Investment in deepwater oil and gas exploration projects:a multi-factor analysis with a real options model

Deepwater oil and gas projects embody high risks from geology and engineering aspects, which exert substantial influence on project valuation. But the uncer- tainties may be converted to additional value to the projects in the case of flexible management. Given the flexibility of project management, this paper extends the classical real options model to a multi-factor model which contains oil price, geology, and engineering uncertainties. It then gives an application example of the new model to evaluate deepwater oil and gas projects with a numerical analytical method. Compared with other methods and models, this multi-factor real options model contains more project information. It reflects the potential value deriving not only from oil price variation but also from geology and engi- neering uncertainties, which provides more accurate and reliable valuation information for decision makers.

Consensus‑based multidimensional due diligence of fintech‑enhanced green energy investment projects

The purpose of this study is to provide a hybrid group decision-making approach to evaluate fintech-based financial alternatives for green energy investment projects.First,the multidimensional factors of due diligence for fintech-based financing alternatives of green energy investment projects are identified.In this regard,the balanced scorecard perspectives are considered.Next,consensus-based group decision-making analysis is performed.Second,impact-relation directions for fintech-based financing alternatives of green energy investment projects are defined.For this purpose,the spherical fuzzy Decision-Making Trial and Evaluation Laboratory(DEMATEL)methodology is applied.The novelty of this study is its proposal of a new outlook to due diligence of fintech-project financing for renewable energy investments by using the group and integrated decision-making approaches with spherical fuzzy DEMATEL.The findings indicate that customer expectations are the most essential factor for the revenue sharing and rewarding models.Additionally,this study identified that organizational competency plays the most important role with respect to the peer-to-business debt model.In contrast,the conclusion was reached that financial returns have the greatest importance for the equity sharing model.

Modeling the energy retrofit decision in commercial office buildings

Retrofitting existing buildings has emerged as a primary strategy for reducing energy use and carbon emissions, both nationally and in cities. Despite the increasing awareness of retrofitting opportunities and a growing portfolio of successful case studies, little is known about the decision-making processes of building owners and asset managers with respect to energy efficiency investments. Specifically, the research presented here examines the effects of ownership type, tenant demand, and real estate market location on building energy retrofit decisions in the commercial office sector. This paper uses an original, detailed survey of asset managers of 763 office buildings in nineteen cities sampled from the CBRE, Inc. portfolio. Controlling for various building characteristics, the results demonstrate that ownership type and local market do, in fact, influence the retrofit decision.Overall, this analysis provides new evidence for the importance of understanding ownership type and the varying motivations of differing types of owners in building energy efficiency investment decisions. The findings of both the survey analysis and the predictive model demonstrate additional support for the targeting of energy efficiency incentives and outreach based on ownership entity, local market conditions, and specific physical building characteristics.

Investment in Generation of Photovoltaic Solar Energy: A Fezsibility Study with Flexibility and Uncertainty

The objective of this research will be to calculate the feasibility of investing in a solar energy generation project through the development of a methodology that allows the capture of environmental uncertainties by improving decision making. The article presents a comparative study of the feasibility analysis of investment in a solar mini solar energy for a Shopping, considering a regime of certainty and uncertainty. The assumed stochastic variables were energy tariff and price of solar panels. The trajectories were simulated with the binomial approach that combined resulted in a quadratic diagram. The applied methodology presented the best recommendation and the option to wait was the most valuable. The exchange of the energy obtained from LIGHT by own generation of energy with solar photovoltaic source will be viable for the manager since it observes the behavior of the variables over time and follows the rules of optimal decision.

Analytic Hierarchy Process in Service of Customized Offer in Banking： Savings and Investment

Today＇s banking institutions spread their product and service line on a daily basis. This effort to increase competitiveness is also creating an overstocked supply for existing and new clients. Not every product is meant for every client and aggressive sales strategies tend to repel clients which can cause serious problems in long-term client-bank relations. This paper will analyze savings and investments products along with their adaptation and modulation regarding client needs. Accordingly, banks will be able to offer particular products to clients with specific needs and wishes. The analytic hierarchy process, or simply AHP method, represents a process which will be able to transform client＇s demands and affinities into a customized offer. It is an easy-to-implement method used in any step of the decision-making process; the process must have multiple alternatives and each of them carries specific characteristics. The decision maker ranks all the characteristics and simultaneously all the alternatives, according to his affinities forming a final decision. This paper will explain how banks will be able to adapt to client needs and wishes in the future using the AHP method.

E-Sh风险下的证券组合投资多目标决策模型

从 E- Sh风险的角度建立并研究了允许卖空与不允许卖空情形下证券组合投资多目标决策模型 。

基于G1-变异系数法的矿产资源项目海外投资决策模型研究

通过分析矿业海外投资面临的风险因素,建立了矿业资源海外投资风险评价指标体系,针对当前主流的矿业投资风险评价方法所存在的缺陷,综合运用G1法及变异系数法,构建了基于动态组合赋权的矿业资源海外投资风险评价模型,并进行了实例分析。研究结果表明:所建立的投资决策模型弥补了评价指标单一赋权方法的缺陷,兼顾主、客观2种赋权方法的优点,使赋权既具有专家的经验智慧,又能反映客观条件的新变化,为比较、分析投资风险提供了更为直接的新方法。

债务融资来源异质性与企业投资--基于宏观经济政策视角

基于债务异质性假说和债务契约理论,从货币政策和税收政策两个角度对我国非金融类上市公司样本进行实证研究,结果表明:在债务融资来源异质性指数与企业投资指标之间存在显著相关关系的基础上,货币政策和财政政策代理变量分别对上述相关关系存在不同的影响。从不同层面探索宏观经济政策因素对企业投融资的作用机理,为植入中国情境的企业财务行为提供了新的视角和经验证据。

Web Service-GIS在旅游投资决策分析中的应用

利用WebService和GIS有关技术以及旅游项目投资决策的基本理论,探讨了Web Service-GIS在旅游项目投资决策分析中的应用,构建面向多个对象的Tourism Investment Decision Making Web-GIS系统(TIDM Web-GIS系统).以SuperMap IS.NET应用服务器为基础应用平台,采用Oracle9i作为应用系统的后台数据服务器,选用微软公司Windows2000服务系统或以上版本作为服务器端操作系统;系统集成了关系模型库、专家知识库、应用信息处理技术和GIS技术,并通过WSDL描述成Web服务,发布、注册和提供给投资者以及其他服务对象;系统有效实现了网络条件下投资者和其他服务对象的信息共享,提高了旅游项目投资决策的科学性、规范性和决策效能.

基于AHP-线性分配法的企业云计算投资决策

文章针对目前企业云计算投资决策指标单一、决策过于笼统以及定量分析被忽视等问题,提出基于业务分解的企业云计算投资决策模型,并借助层次分析法（AHP）确定决策指标的权重,通过线性分配法对决策方案进行综合排序。最后以一个企业的云计算投资决策为例,利用AHP-线性分配法求解最佳的企业云计算投资方案。

基于Digraph-DEMATEL算法的群体决策研究

针对现代企业特别是央企集团决策难度与复杂度进一步提升的问题,以群体决策中专家权重的确定为研究对象,基于DEAMTEL算法原理与复杂网络相关理论,结合多维度的专家群体影响因素剖析,进行算法的拓展研究,构建了Digraph-DEMATEL算法。基于节点加权的加权网络的相关定义,以加权有向图作为专家综合权重的表征,综合考量专家的职级、关联关系、知识水平与技术能力等因素,进行专家影响力的综合度量,以此作为确定专家权重的依据。进一步验证了算法的有效性与可行性,能够为企业群体决策提供一定的理论支撑与实践指导。

经营投资责任追究与国有企业投融资期限错配改善

经营投资责任追究作为国有企业改革的重要举措,对投融资决策行为有着重要影响。文章选取2011—2021年我国沪深A股上市企业为样本,实证检验了经营投资责任追究对国有企业投融资期限错配的影响。结果表明,经营投资责任追究能够显著改善国有企业投融资期限错配;机制检验显示,经营投资责任追究通过提高投资决策质量和强化管理层风险规避意识,改善国有企业投融资期限错配;异质性分析发现,在管理层过度自信程度较高、股权激励水平较低和内源融资能力较差时,经营投资责任追究改善国有企业投融资期限错配的作用更明显。研究结果有助于规范和约束管理层非理性决策行为,推动国有企业做强做优做大,对加快建设世界一流企业具有重要借鉴意义。

基于投影寻踪-灰色理论的多地区电网投资决策方法

依据地区电网发展状况与运行特点,建立电网企业投资能力评估指标体系,采用投影寻踪模型确定指标权重,结合灰色关联理论,计算出各地区电网企业综合效益评估值,在此基础上提出了基于效益的多目标投资决策模型,实现了对各地区电网的投资最优分配,为电网企业投资规划提供指导。

改进的差分演化算法及其在资金决策中的应用

针对传统的基本差分演化算法存在对参数设置太过于敏感,算法容易陷入早熟收敛、稳定性不强等等缺陷,提出了改进措施,采取了对称算法来保持种群多样性,通过变异个体,对称个体,个体三者进行有效竞争,增强算法的全局搜索能力;同时采用了轮盘赌的选择策略和二次变异算子保证种群个体的有效性与多样性,增加算法的全局稳定性.文中的算法应用于求解资金决策分配问题上,通过模拟仿真,该算法在稳定性、收敛速度、求解的精度方面优于其他被比较的算法.

大型运河工程造价控制和投资分析

随着建筑业的快速发展,项目建设相关方对工程前期阶段造价控制要求越来越高,特别是以政府投资为主的内河航运工程,造价控制水平不仅影响着项目前期决策,也决定着项目是否能够顺利实施。针对前期阶段如何准确控制造价,以平陆运河工程为例,采用现行水运工程造价编制规定体系,通过对可行性研究阶段造价控制技术特点、造价编制方案制定、单位工程测算方法及造价控制风险进行研究和论述,得出前期阶段造价控制重点为制定工程造价编制统一规定、统筹不同建筑行业造价体系、组编项目造价整体架构、研判施工条件及施工方案、准确计算工程量及套用定额、分析各阶段投资差异。研究成果可为综合性内河航运工程造价控制提供借鉴。