{"title":"The Relationship between Corporate Governance Factors and Accounting Conservatism (Based on Basu's Model Evaluation)","authors":"Samira Honarbakhsh","doi":"10.52547/jme.17.1.43","DOIUrl":"https://doi.org/10.52547/jme.17.1.43","url":null,"abstract":"","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130595829","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}
S. Heydarian, M. Pahlavani, Seyed Hossein Mirjalili
{"title":"The Impact of Financial Sanctions on Capital Inflow and Outflow (case of Iran)","authors":"S. Heydarian, M. Pahlavani, Seyed Hossein Mirjalili","doi":"10.52547/jme.17.1.67","DOIUrl":"https://doi.org/10.52547/jme.17.1.67","url":null,"abstract":"","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128084826","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}
Eldar Sedaghat Parast, Siavash Golzarian pour, Vahid Hajizadeh
Liquid assets are critical for banking operations. They guarantee avoiding liquidity risk and widens managerial decision options to invest in emerging profitable projects; however, holding extra liquidity entails opportunity costs. Accordingly, empirical literature does not provide a conclusive relationship between liquidity and profitability. The purpose of this research is to analyze the asymmetric effects of holding liquid assets by commercial banks on their profitability. Parallel to a detailed review of contradicting theories and empirical evidence, we have developed an econometric model to capture the nonlinear effects of liquidity on performance. The proposed model is tested for a sample of seven listed Iranian commercial banks during 2006-2018 by Arellano-Bond dynamic panel-data estimation. We found that the nonlinear relationship, if any, is not an inverse U as Bordeleau and Graham (2010) suggested. Results show a positive (holding more liquid assets increases the profitability of Iranian banks), and even an accelerating effect for liquidity, likely due to the low level of liquid assets maintained by Iranian banks. implementation of Basel III. They gathered twenty years of data for more than 6000 banks before 2000 and for more than 5000 banks between 2000 to 2012. The results show that banks react to regime change, and their behavior does not match the pre-regulation
{"title":"Bank Liquidity and Bank Performance: Looking for a Nonlinear Nexus","authors":"Eldar Sedaghat Parast, Siavash Golzarian pour, Vahid Hajizadeh","doi":"10.52547/jme.16.4.417","DOIUrl":"https://doi.org/10.52547/jme.16.4.417","url":null,"abstract":"Liquid assets are critical for banking operations. They guarantee avoiding liquidity risk and widens managerial decision options to invest in emerging profitable projects; however, holding extra liquidity entails opportunity costs. Accordingly, empirical literature does not provide a conclusive relationship between liquidity and profitability. The purpose of this research is to analyze the asymmetric effects of holding liquid assets by commercial banks on their profitability. Parallel to a detailed review of contradicting theories and empirical evidence, we have developed an econometric model to capture the nonlinear effects of liquidity on performance. The proposed model is tested for a sample of seven listed Iranian commercial banks during 2006-2018 by Arellano-Bond dynamic panel-data estimation. We found that the nonlinear relationship, if any, is not an inverse U as Bordeleau and Graham (2010) suggested. Results show a positive (holding more liquid assets increases the profitability of Iranian banks), and even an accelerating effect for liquidity, likely due to the low level of liquid assets maintained by Iranian banks. implementation of Basel III. They gathered twenty years of data for more than 6000 banks before 2000 and for more than 5000 banks between 2000 to 2012. The results show that banks react to regime change, and their behavior does not match the pre-regulation","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130502505","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}
Ahmad Kanishka Zohor, Ebadullah Ebad, Nabila Rashid
Foreign Direct Investment (FDI) is frequently regarded as a key driver of global economic integration because it brings job opportunities, capital investment, and business experience. The current study examines the impact of foreign direct investment on Afghanistan's economic growth using time-series data from 2007 to 2019, which are collected from the World Bank and the International Monetary Fund's annual macroeconomic data sources for the country. Foreign direct investment (FDI), trade (Trd), inflation (InfR), and real interest rate (Int) are independent variables for regressing on this country's gross domestic product (GDP), while "GDP" is as a dependent variable. The method of ordinary least squares (OLS) was utilized to investigate the impact of these variables on Afghanistan's economic growth. For unit root test, the Augmented Dickey-Fuller (ADF) one was utilized, while co-integration, Granger causality, and the Vector Error Correction Model (VECM) were all used to capture two-way linkages between variables and were shown to hold in the long run. Our findings indicate that foreign direct investment and trade have a negative and significant impact on Afghanistan's economic performance in the short run but that all variables except inflation have a positive and significant impact on economic growth in the long run. According to the study, a rigorous policy mix is required to absorb "FDI" while supporting infant industries and reducing Afghanistan's balance of payments deficit for growth and future development.
{"title":"A Study on the Contribution of Foreign Direct Investment to Economic Growth in Afghanistan","authors":"Ahmad Kanishka Zohor, Ebadullah Ebad, Nabila Rashid","doi":"10.52547/jme.16.4.555","DOIUrl":"https://doi.org/10.52547/jme.16.4.555","url":null,"abstract":"Foreign Direct Investment (FDI) is frequently regarded as a key driver of global economic integration because it brings job opportunities, capital investment, and business experience. The current study examines the impact of foreign direct investment on Afghanistan's economic growth using time-series data from 2007 to 2019, which are collected from the World Bank and the International Monetary Fund's annual macroeconomic data sources for the country. Foreign direct investment (FDI), trade (Trd), inflation (InfR), and real interest rate (Int) are independent variables for regressing on this country's gross domestic product (GDP), while \"GDP\" is as a dependent variable. The method of ordinary least squares (OLS) was utilized to investigate the impact of these variables on Afghanistan's economic growth. For unit root test, the Augmented Dickey-Fuller (ADF) one was utilized, while co-integration, Granger causality, and the Vector Error Correction Model (VECM) were all used to capture two-way linkages between variables and were shown to hold in the long run. Our findings indicate that foreign direct investment and trade have a negative and significant impact on Afghanistan's economic performance in the short run but that all variables except inflation have a positive and significant impact on economic growth in the long run. According to the study, a rigorous policy mix is required to absorb \"FDI\" while supporting infant industries and reducing Afghanistan's balance of payments deficit for growth and future development.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844013","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}
S. Soltani, N. Falihi, Azadeh Mehrabiyan, Hossein Amiri
This study investigates monetary and financial shocks on macroeconomic variables, focusing on the role of banking intervention. For this purpose, a Keynesian dynamic stochastic general equilibrium (DSGE) model is designed for Iran’s economy that involves financial and banking sectors. The results of the model simulation show that the financial accelerator theory works in the Iranian economy. Also, the intermediary role is confirmed by the impulse response function. In other words, economic policies can impress on macroeconomic indicators more when banks intervene in the economy. Therefore, to control the effects of economic shocks on banks' performance, it has been suggested that monetary policymakers pay attention to the important roles of financial markets in the transfer mechanism and monetary policy intensity. On the other hand, because of mandatory rules of interest rates determination, banks have to establish a commission and nonprofit services instead of sharing income to decrease the effect of economic shocks.
{"title":"Investigating the Effects of Monetary and Financial Shocks on the Key Macroeconomic Variables, Focusing on the Intermediary Role of Banks Using DSGE Models","authors":"S. Soltani, N. Falihi, Azadeh Mehrabiyan, Hossein Amiri","doi":"10.52547/jme.16.4.477","DOIUrl":"https://doi.org/10.52547/jme.16.4.477","url":null,"abstract":"This study investigates monetary and financial shocks on macroeconomic variables, focusing on the role of banking intervention. For this purpose, a Keynesian dynamic stochastic general equilibrium (DSGE) model is designed for Iran’s economy that involves financial and banking sectors. The results of the model simulation show that the financial accelerator theory works in the Iranian economy. Also, the intermediary role is confirmed by the impulse response function. In other words, economic policies can impress on macroeconomic indicators more when banks intervene in the economy. Therefore, to control the effects of economic shocks on banks' performance, it has been suggested that monetary policymakers pay attention to the important roles of financial markets in the transfer mechanism and monetary policy intensity. On the other hand, because of mandatory rules of interest rates determination, banks have to establish a commission and nonprofit services instead of sharing income to decrease the effect of economic shocks.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130317853","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}
Corporate governance of banks is one of the most important structures required by banks to maintain the health and stability of banks, which can play an important role in managing banks' risk. This paper examines the effect of corporate governance on liquidity risk management, credit risk management, and total bank risk management. We used board structure effectiveness, transparency, and responsibility as corporate governance indicators. The financial ratio approach is also used to measure risk management. The period under review was 2006-2018. In addition to corporate governance criteria, other explanatory variables affecting banks' risk management have also been used. This paper used the performing unit root, cointegration, and F-Limmer tests to ensure panel estimation. Given the impact of past banks' risk management on current risk management, this variable has also been modeled as an explanatory variable. For this reason, the GMM method has been used to estimate the models in question. Given the importance of bank size in corporate governance on bank risk management, Banks are divided into large and small groups, so the effect of corporate governance in large and small banks has also been investigated on bank risk management. The results show that compliance with corporate governance criteria positively affects banks' risk management. However, due to weak corporate governance in large banks, corporate governance in large banks hurts bank risk management. are computed using asymptotic Chi-square distribution.
{"title":"Relationship between Corporate Governance and Risk Management","authors":"A. Ahmadyan, Mehdi Ghasemi Ali Abadi","doi":"10.52547/jme.16.4.447","DOIUrl":"https://doi.org/10.52547/jme.16.4.447","url":null,"abstract":"Corporate governance of banks is one of the most important structures required by banks to maintain the health and stability of banks, which can play an important role in managing banks' risk. This paper examines the effect of corporate governance on liquidity risk management, credit risk management, and total bank risk management. We used board structure effectiveness, transparency, and responsibility as corporate governance indicators. The financial ratio approach is also used to measure risk management. The period under review was 2006-2018. In addition to corporate governance criteria, other explanatory variables affecting banks' risk management have also been used. This paper used the performing unit root, cointegration, and F-Limmer tests to ensure panel estimation. Given the impact of past banks' risk management on current risk management, this variable has also been modeled as an explanatory variable. For this reason, the GMM method has been used to estimate the models in question. Given the importance of bank size in corporate governance on bank risk management, Banks are divided into large and small groups, so the effect of corporate governance in large and small banks has also been investigated on bank risk management. The results show that compliance with corporate governance criteria positively affects banks' risk management. However, due to weak corporate governance in large banks, corporate governance in large banks hurts bank risk management. are computed using asymptotic Chi-square distribution.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123147997","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}
This paper studies the effect of the space (distance) between lotteries' outcomes on risk-taking behavior and the shape of estimated utility and probability weighting functions. Previously investigated experimental data shows a significant space effect in the gain domain. As compared to low spaced lotteries, high spaced lotteries are associated with higher risk aversion for high probabilities of gain and higher risk-seeking for low probabilities of gain. Hence, the investigation is carried under cumulative prospect theory that respects framing effect and characterizes risk attitudes with respect to probabilities and outcomes. The observed certainty equivalents of lotteries are assumed to be driven by cumulative prospect theory. To estimate the parameters of cumulative prospect theory with maximum likelihood, the usual error term is added. The cumulative prospect theory is incapable of explaining the space effect as its parameters cannot explain the average behavior. Taking account of heterogeneity, a two-component mixture model shows that behavioral parameters of around 25% of the sample can explain the observed differences in relative risk aversions. The results confirm the previous findings of aggregation bias associated with representative-agent models. Furthermore, the results have implications for experimental designs as high space between lotteries' outcomes is required to guarantee the curvature of utility functions.
{"title":"Explaining Heterogeneity in Risk Preferences Using a Finite Mixture Model","authors":"Narges Hajimoladarvish","doi":"10.52547/jme.16.4.533","DOIUrl":"https://doi.org/10.52547/jme.16.4.533","url":null,"abstract":"This paper studies the effect of the space (distance) between lotteries' outcomes on risk-taking behavior and the shape of estimated utility and probability weighting functions. Previously investigated experimental data shows a significant space effect in the gain domain. As compared to low spaced lotteries, high spaced lotteries are associated with higher risk aversion for high probabilities of gain and higher risk-seeking for low probabilities of gain. Hence, the investigation is carried under cumulative prospect theory that respects framing effect and characterizes risk attitudes with respect to probabilities and outcomes. The observed certainty equivalents of lotteries are assumed to be driven by cumulative prospect theory. To estimate the parameters of cumulative prospect theory with maximum likelihood, the usual error term is added. The cumulative prospect theory is incapable of explaining the space effect as its parameters cannot explain the average behavior. Taking account of heterogeneity, a two-component mixture model shows that behavioral parameters of around 25% of the sample can explain the observed differences in relative risk aversions. The results confirm the previous findings of aggregation bias associated with representative-agent models. Furthermore, the results have implications for experimental designs as high space between lotteries' outcomes is required to guarantee the curvature of utility functions.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"315 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987959","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}
The technological revolution has spread over today's world, and it is clearly seen in banking, especially electronic banking. E-Banking has many dimensions, criteria, and components, and judging its progress based on dimensions leads to difficulty and bias. There is also a lack of comprehensive information references in the literature. Therefore, introducing a combinational index to accurately assess its progress is inevitable. In this research, the E-Banking Progress Index (E-BPI), which focuses on the infrastructures and the tools of e-banking and has five dimensions: Technical and Communicational Infrastructures; Services; Cultural-Educational Infrastructures; Security and Supervision; and Legal-Regulatory Infrastructures is created. It also has several applications in investigating the progress of e-banking in a bank or a country and comparing it among banks or countries. This research, using Analytic Hierarchy Process (AHP), leads to the introduction of a combinational index to measure the progress of e-banking, which is able to analyze its strength and weakness. E-BPI provides a score between 0 and 1. The more the score, the stronger the e-banking is. 130 The research findings indicate a positive and significant relationship between e-services and customers' from
{"title":"E-Banking Progress Index (E-BPI)","authors":"S. S. Hosseini, Esmaeel Hafezi","doi":"10.52547/jme.16.4.501","DOIUrl":"https://doi.org/10.52547/jme.16.4.501","url":null,"abstract":"The technological revolution has spread over today's world, and it is clearly seen in banking, especially electronic banking. E-Banking has many dimensions, criteria, and components, and judging its progress based on dimensions leads to difficulty and bias. There is also a lack of comprehensive information references in the literature. Therefore, introducing a combinational index to accurately assess its progress is inevitable. In this research, the E-Banking Progress Index (E-BPI), which focuses on the infrastructures and the tools of e-banking and has five dimensions: Technical and Communicational Infrastructures; Services; Cultural-Educational Infrastructures; Security and Supervision; and Legal-Regulatory Infrastructures is created. It also has several applications in investigating the progress of e-banking in a bank or a country and comparing it among banks or countries. This research, using Analytic Hierarchy Process (AHP), leads to the introduction of a combinational index to measure the progress of e-banking, which is able to analyze its strength and weakness. E-BPI provides a score between 0 and 1. The more the score, the stronger the e-banking is. 130 The research findings indicate a positive and significant relationship between e-services and customers' from","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121586704","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}
Stock Exchange Investors have paid more attention to the banking group in recent years so that in many cases, the direction of the banking index has changed the general direction of the market. Therefore, exploring the banking index fluctuation is important from the point of view of investors as well as the direction of the market. The purpose is to examine the effectiveness and direction of news, as one of the most important factors in the formation of volatility, on the banking group index in Tehran Stock Exchange by using 1460 daily records during 2018-2019 and the GARCH family's method. The data were collected for four different newsgroups, including economic, political, psychological, and financial. After that, the news that had more relationship with the banking group was separated to underscore in the weighting stage and divided into the positive and negative news, according to the perspectives of capital market experts and economic elites. The results indicated that newsgroups have a significant effect on the group index, and only the negative political model on the banking group has an asymmetric effect. The results indicated that political and economic news has a positive and significant impact on banking index fluctuations.
{"title":"The Asymmetric Impact of Weighting Economic and Political Events on the Fluctuations of Banking Group Index (Case of Tehran Stock Exchange)","authors":"Saeed Dehghan Khavari, Seyed Hossein Mirjalili, Maryam Iraji","doi":"10.52547/jme.16.3.399","DOIUrl":"https://doi.org/10.52547/jme.16.3.399","url":null,"abstract":"Stock Exchange Investors have paid more attention to the banking group in recent years so that in many cases, the direction of the banking index has changed the general direction of the market. Therefore, exploring the banking index fluctuation is important from the point of view of investors as well as the direction of the market. The purpose is to examine the effectiveness and direction of news, as one of the most important factors in the formation of volatility, on the banking group index in Tehran Stock Exchange by using 1460 daily records during 2018-2019 and the GARCH family's method. The data were collected for four different newsgroups, including economic, political, psychological, and financial. After that, the news that had more relationship with the banking group was separated to underscore in the weighting stage and divided into the positive and negative news, according to the perspectives of capital market experts and economic elites. The results indicated that newsgroups have a significant effect on the group index, and only the negative political model on the banking group has an asymmetric effect. The results indicated that political and economic news has a positive and significant impact on banking index fluctuations.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211645","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}
N. Jamshidi, Mohammad Vaez Barzani, Mahdi Toghyani
Economic growth is the most common goal in any economy, and capital is one of the most important determinants of growth. In the last few decades, the use of securities in various countries' capital markets has expanded and has become an essential part of the economic system supplying the capital need for investors and other institutions. This study aims to analyze the effect of securities used to finance banks (securitization) on economic growth. For this purpose, the theoretical analysis method is used in the framework of a Dynamic Stochastic General Equilibrium (DSGE) model. The theoretical model used is based on Frank Ramsey's (1928) economic growth model. To transform this model into a suitable model for research, the shadow banking system and securitization have been added. The model is then simulated using the calibration method and using the real data of the US economy; then, the macroeconomic changes and fluctuations created by bank securities are explained and analyzed. According to the research findings, issuing securities by banks will lead to slower economic growth. Therefore, it is recommended to avoid the use of securitization in banking.
{"title":"An Analysis about the Long Term Impact of Banks Securitization on Economic Growth","authors":"N. Jamshidi, Mohammad Vaez Barzani, Mahdi Toghyani","doi":"10.52547/jme.16.3.283","DOIUrl":"https://doi.org/10.52547/jme.16.3.283","url":null,"abstract":"Economic growth is the most common goal in any economy, and capital is one of the most important determinants of growth. In the last few decades, the use of securities in various countries' capital markets has expanded and has become an essential part of the economic system supplying the capital need for investors and other institutions. This study aims to analyze the effect of securities used to finance banks (securitization) on economic growth. For this purpose, the theoretical analysis method is used in the framework of a Dynamic Stochastic General Equilibrium (DSGE) model. The theoretical model used is based on Frank Ramsey's (1928) economic growth model. To transform this model into a suitable model for research, the shadow banking system and securitization have been added. The model is then simulated using the calibration method and using the real data of the US economy; then, the macroeconomic changes and fluctuations created by bank securities are explained and analyzed. According to the research findings, issuing securities by banks will lead to slower economic growth. Therefore, it is recommended to avoid the use of securitization in banking.","PeriodicalId":151574,"journal":{"name":"Journal of Money and Economy","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124046713","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}
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