Journal of Money and Economy最新文献_第4页

Investigating the Effect of Structural Changes and Trade Liberalization on Total Factor Productivity in Iran (1991-2018) 伊朗结构变动与贸易自由化对全要素生产率的影响研究(1991-2018)

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.71

Yasaman Hokmollahi, Ali Taiebnia, A. Souri

引用次数: 0

A Stepwise Model of Customer Experience Management for Iranian ICT Sector 伊朗ICT行业客户体验管理的逐步模型

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.115

Fatemeh Saeedi, A. Danaei, S. M. Zargar

{"title":"A Stepwise Model of Customer Experience Management for Iranian ICT Sector","authors":"Fatemeh Saeedi, A. Danaei, S. M. Zargar","doi":"10.52547/jme.16.1.115","DOIUrl":"https://doi.org/10.52547/jme.16.1.115","url":null,"abstract":"Knowing and managing the concept of customer experience is the main factor in creating competitiveness for any organization. Moreover, without customer experience management, a business cannot specify appropriate strategies to maintain the current market and business sustainability. However, most of the existing studies have looked at this subject abstractly and have not provided a comprehensive model based on steps taken in the customer journey. This research aims to fill the gap by providing the body of knowledge with a comprehensive model for customer experience management, where the stepwise nature of the concept is maintained. Using a grounded theory (GT) strategy, 20 experts in the Iranian IT sector took part in this study. Data gathered using an interview protocol that was made based on reviewing the existing literature. Both reliability (Inter-coder rating) and validity (face and content validity) measures for the data gathering tool were obtained. Three coding approaches of grounded theory (open, axial, and selective coding) were applied to analyze the data. This study introduced a stepwise model of customer management experience through the customer journey steps. The model also contains the prerequisites conditions to realize the customer experience in the IT sector and reveals the contextual factors affecting the process and finally the consequences of applying the model.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133308822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Dynamic Cross Hedging Effectiveness between Gold and Stock Market Based on Downside Risk Measures: Evidence from Iran Emerging Capital Market 基于下行风险度量的黄金和股票市场动态交叉对冲有效性:来自伊朗新兴资本市场的证据

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.43

R. Tehrani, Vahid Veisizadeh

{"title":"Dynamic Cross Hedging Effectiveness between Gold and Stock Market Based on Downside Risk Measures: Evidence from Iran Emerging Capital Market","authors":"R. Tehrani, Vahid Veisizadeh","doi":"10.52547/jme.16.1.43","DOIUrl":"https://doi.org/10.52547/jme.16.1.43","url":null,"abstract":"This paper examines the hedging effectiveness of gold futures for the stock market in minimizing variance and downside risks, including value at risk and expected shortfall using data from the Iran emerging capital market during four different sub-periods from December 2008 to August 2018. We employ dynamic conditional correlation models including VARMA-BGARCH (DCC, ADCC, BEKK, and ABEKK) and copulaGARCH with different copula functions to estimate volatilities and conditional correlations between Iran gold futures contract return and Tehran stock exchange main index return. The empirical results reveal that the dynamic conditional correlations switch between positive and near-zero values over the period under study. These correlations are high and positive during the major national currency devaluation and are low near to zero during other times. Out-of-sample one-step-ahead forecasts based on rolling window analysis show that DCC and ADCC multivariate GARCH models outperform other models for variance reduction, while a more interesting finding is that the copula-GARCH model outperforms other models for downside risks reduction.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123078482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM) 利用多属性决策识别银行业洗钱嫌疑案件

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.1

Azam Parsaee Tabar, N. Abdolvand, S. Rajaee Harandi

引用次数: 0

Stress Testing of Credit Risk in Iran’s Banking System 伊朗银行体系信用风险压力测试

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.93

Mahboobeh Sanatkhani, F. Bazzazan

引用次数: 0

Investigation of Factors Affecting Banking Leverage in Selected Iranian Banks (Random-Coefficients Approach) 伊朗部分银行杠杆影响因素调查(随机系数法)

Journal of Money and Economy Pub Date : 2021-03-01 DOI: 10.52547/jme.16.1.21

Alireza Ahadifar, Zahra Karimi Takanlo, Reza Ranjpour, J. Haghighat

引用次数: 0

Proposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes 提出一个基于谢尔宾斯基三角的预测欧元/美元方向变化的创新模型

Journal of Money and Economy Pub Date : 2020-10-01 DOI: 10.52547/jme.15.4.423

Fatemeh Rahimi, Seyed Alireza Mousavian Anaraki

{"title":"Proposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes","authors":"Fatemeh Rahimi, Seyed Alireza Mousavian Anaraki","doi":"10.52547/jme.15.4.423","DOIUrl":"https://doi.org/10.52547/jme.15.4.423","url":null,"abstract":"The Sierpinski triangle is a fractal that is commonly used due to some of its characteristics and features. The Forex financial market is among the places wherein this triangle's characteristics are effective in forecasting the prices and their direction changes for the selection of the proper trading strategy and risk reduction. This study presents a novel approach to the Sierpinski triangle and introduces an innovative model based on it to forecast the direction changes in currency pairs, particularly EUR/USD. The model proposed in this study is dependent on the number of data selected for forecasting. The number of data is, in fact, the area of the initial triangle and the forecasted value of the self-similar triangles formed in each stage. For the performance assessment of the proposed method within one year (03/01/2019 to 28/02/2020), daily EUR/USD closed price data was classified into three categories, namely the training (70%), testing (20%), and validation (10%). Three approaches were proposed that led to forecasting the mean direction accuracy and the best result of over 60 percent in the third approach and over 50 percent in the first and second approaches. Results reflect the satisfactory improvements in the third approach compared to the econometrics, time-series, and machine learning methods. Moreover, the optimal number of data for the model is selected such that the difference between the accuracy of the direction forecasting in the training category and testing category is above 0.6 and below 0.05.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accruals Quality and Bankruptcy in Shirata Model (Case Study: Tehran Stock Exchange) Shirata模型中的应计质量与破产(以德黑兰证券交易所为例)

Journal of Money and Economy Pub Date : 2020-10-01 DOI: 10.52547/jme.15.4.381

Oveis Bagheri, Mona Ranjbaran Jalili

引用次数: 0

Insurer Optimal Asset Allocation in a Small and Closed Economy: The Case of Iran’s Social Security Organization 小型封闭经济中保险公司最优资产配置:以伊朗社会保障组织为例

Journal of Money and Economy Pub Date : 2020-10-01 DOI: 10.52547/jme.15.4.445

Elaheh Esfandi, M. Mousavi, Rassam Moshrefi, Babak Farhang-Moghaddam

{"title":"Insurer Optimal Asset Allocation in a Small and Closed Economy: The Case of Iran’s Social Security Organization","authors":"Elaheh Esfandi, M. Mousavi, Rassam Moshrefi, Babak Farhang-Moghaddam","doi":"10.52547/jme.15.4.445","DOIUrl":"https://doi.org/10.52547/jme.15.4.445","url":null,"abstract":"We seek to determine the optimal amount of the insurer’s investment in all types of assets for a small and closed economy. The goal is to detect the implications and contributions the risk seeker and risk aversion insurer commonly make and the effectiveness in the investment decision. Also, finding the optimum portfolio for each is the main goal of the present study. To this end, we adopted the optimal asset-liability management (ALM) method to control the firm's risk of financial stability and growth by balancing the assets and liabilities of the firm. In the process, stochastic interest rates and inflation risks were taken into account according to the expected utility maximization framework. All assets were established and calculated by the Kalman Filter with the stochastic interest rate following the Hull-White model; an additional stochastic process models the inflation risk. To consider the stochastic process, we employed the geometric Brownian motion in the liability process to ensure a definite liability value. We chose Iran’s Social Security Organization as our sample insurer company since it has a portfolio of five types of assets and four types of liabilities, and operates in a small and closed economy. By Applying the ALM method with the stochastic control theory approach, we acquire the optimal investment strategies for insurers to minimize their risk. Our findings demonstrate the effects of model parameters, such as the degree of risk-taking on the insurer decision.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114697066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Macroeconomic Effects of Government Debt to Banks in Iran 伊朗政府债务对银行的宏观经济影响

Journal of Money and Economy Pub Date : 2020-10-01 DOI: 10.52547/jme.15.4.403

Soheil Roudari, Y. Salmani

引用次数: 0