Original Article
Financial Economics
Sareh Amirmojahedi; Ali Raeispour Rajabali; seied abdolmajed jalaee esfandabadi; reza zeinalzadeh
Abstract
Considering that in the knowledge economy , production, distribution and application of knowledge and information is the main factor of development, produce of wealth and employment in all economic activities, therefore, it is important to examine the financial friction and financial development on the ...
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Considering that in the knowledge economy , production, distribution and application of knowledge and information is the main factor of development, produce of wealth and employment in all economic activities, therefore, it is important to examine the financial friction and financial development on the indicators of the knowledge economy of economic sectors, Therefore In this research the effect of shocks due to financial friction (increase in legal reserve rate) and financial development (reduce in bank loans interest rate) on knowledge base index (R&D expenditure) of each economic sector (agriculture, industry and services) was studied using Recursive Dynamic Computable General Equilibrium (RDCGE) model. For this purpose the required date was gathered from social accounting matrix of Islamic Parliament of Iran related to year 2011 and input-output table of Central Bank of Iran related to year 2016. Results indicated that shocks of financial friction have significant inverse effect and shocks of financial development have significant positive effect on knowledge base index (R&D expenditure) of agriculture, industry and services sectors. Because with increase in financial friction or development, the ability of banks for allocating bank loans to economic firms will reduce and consequently their knowledge base index (R&D expenditure) will reduce. In addition between studied economic sectors, the financial friction and development shocks have the most effect on knowledge base index (R&D expenditure) of industry, agriculture and services sectors, respectively.
Original Article
Bank
Komeil Ali Taghavi; Mohammadreza Mashayekh
Abstract
‘Blockchain banking’ combines traditional banking features with cryptocurrency ones, which can be provided by merging ‘hybrid e-wallet’ with ‘bank account’ and ‘bank card’ - altogether as ‘crypto bank account’. The ‘hybrid e-wallet’ ...
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‘Blockchain banking’ combines traditional banking features with cryptocurrency ones, which can be provided by merging ‘hybrid e-wallet’ with ‘bank account’ and ‘bank card’ - altogether as ‘crypto bank account’. The ‘hybrid e-wallet’ is a form of mobile e-wallet on blockchain that supports both cryptocurrencies and traditional currencies in the same platform by which the purchase and sale of cryptocurrencies are possible. The crypto ‘bank card’ allows customers to exchange cryptocurrencies into currencies (e.g., Euro, Dollar, etc) and spend currencies in stores and online, and withdraw funds from any ATM worldwide. Therefore, the ‘sub-processes’ of ‘blockchain banking’ as a ‘business process’ were initially extracted by means of the ‘Delphi method’ applying Parsian Bank’s experts and the ‘sequence’ (i.e. the priority) of these sub-processes was determined via the ‘analytic hierarchy process’ (AHP). And eventually, Parsian Bank's maturity levels for all sub-processes and the overall maturity level for the process of ‘blockchain banking’ were specified on the basis of the ‘Capability Maturity Model Integration’ Version 1.3 (‘CMMI’ V1.3) in order for business process management (BPM).
Original Article
Financial monetary economy
Yaser Moomivand; seyyd mohammadbagher najafi; Kaveh Derakhshani Darabi; jamal fathollahi
Abstract
Monetary policies are one of the most important policy tools for improving economicvariables, including inflation and production. Monetary policy is currently a dynamic andchallenging field of economic sciences, theoretically and empirically. The views on the effectof monetary policy on production vary ...
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Monetary policies are one of the most important policy tools for improving economicvariables, including inflation and production. Monetary policy is currently a dynamic andchallenging field of economic sciences, theoretically and empirically. The views on the effectof monetary policy on production vary from the ineffectiveness and neutrality of money inthe short and long term to the effectiveness of monetary policy and its effect on production inthe long term and even in the short term.2. Review of the literatureInstitutional aspects and their effect on economic variables and the economic performance ofdifferent societies have been attracted by experts in the field since the 1980s and led to thedevelopment and expansion of its literature in the 1990s. Moreover, the valuable works ofNorth and Coase, as well as, winning the Nobel Prize in Economic Sciences for their effortsto introduce institutional analyses put forward institutionalism as one of the leading economictheories. According to this literature, it can be stated that the same impulses and policies canbe followed by different reactions due to temporal and spatial differences in the institutionalenvironment in which they happened (Dehghan Monshadi, 2019).2.1. The effect of governance on the effectiveness of policiesThe new economic literature emphasizes the importance of institutions and governanceconditions in the economic development process and the performance of economic policies.Governance has a long history and has been defined in different ways. It literally meansdomination, ruling, and strategic government, but it means the activity of countrymanagement and control of a company or organization in the Oxford English Dictionary(Gholipoor, 2004).3. Materials and methodsThis research investigated the effect of variables on the effectiveness of monetary policyusing the model introduced by De Mendonça and Nascimento (2018), which is presented asRelation (1).(1)where is the index obtained for the effectiveness of the monetary policy in the i th country inthe t th year, GGI is the index of good governance, and X is other economic variables affectingthe effectiveness of the monetary policy, such as the degree of openness of the economy, thedevelopment of financial markets, and virtual variable of the existence of the inflationtargeting policy in the relevant country. In the years with the inflation targeting policy, thevalue was set to 1, but it was 0 in other years. In addition, the GDP variable was included inthe model to include other variables affecting the effectiveness of monetary policy.4. ResultsThe effectiveness index of monetary policy was calculated for the sample countries beforeestimating the coefficients using the proposed approach. This research calculated theeffectiveness of monetary policy using the approach introduced by Krause and Rioja (2006).In this approach, and were calculated for the selected countries in each year. The inflationdeviation was measured by the deviation of the consumer price index. Analysis of thedescriptive statistics for the research variables demonstrated that this index average for thecountries in the period under study was 2980.43 and the median equaled 1.48. It should benoted that the lower the value of the index, the more effective the policy would be in thereduction of inflation and production fluctuations. The highest and lowest index value was873575.4 and -107.91, respectively. Jarque- Bera statistic and its significance level alsoshowed that the distribution of the variable is not normal.5. ConclusionAs shown by the results of earlier studies and the present research, the process of selection,decision-making, and performance of individuals and societies takes place within theframework of institutions. Thus, their reaction to various phenomena, including economicand monetary policies, depends on institutions. One of the major institutions is thegovernance that affects economic variables with monetary and financial policies. Therefore,the primary objective of this research was to determine the effect of governance quality onthe effectiveness of monetary policy. According to the results, improving the quality ofgovernance significantly reduced production and inflation fluctuations and enhanced theeffectiveness of monetary policy. Hence, it could be concluded that in societies withfavorable governance indicators, better and more complete implementation of laws andregulations could be expected, and formal and informal obstacles to implement economicpolicies are reduced. The results obtained from the estimation of coefficients indicated asignificant relationship between the inflation targeting policy and the increased effectivenessof monetary policy. The existence of inflation-targeting policy and its obligation make thecentral bank focus more on the main goals of monetary policy, which is to maintain the valueof the national currency and increase economic stability. Under such circumstances, thepolicy-maker can have more authority in controlling inflation and production fluctuationsrather than other secondary goals, resulting in more success in controlling inflation andproduction fluctuations.
Original Article
Financial Economics
Habib Ansari Samani; dariush Fareed; golnazosadat alavi nasab; farzaneh jandaghi
Abstract
In the past two years, the Tehran Stock Exchange has experienced severe fluctuations and a significant decline due to various factors. One of the important factors is the herding behavior of investors, Investors in the Tehran Stock Exchange exhibit emotional and sometimes irrational behaviors towards ...
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In the past two years, the Tehran Stock Exchange has experienced severe fluctuations and a significant decline due to various factors. One of the important factors is the herding behavior of investors, Investors in the Tehran Stock Exchange exhibit emotional and sometimes irrational behaviors towards buying and selling orders as well as market growth and recession, which can lead to herding behavior. Therefore, the aim of this study is to investigate the effect of herding behavior of investors on stock price fluctuations and industry indices. The target population of the study is all active and accepted companies in the Tehran Stock Exchange whose shares have been traded from 2015 to 2021, and a sample of 156 companies has been selected from among 18 industries using systematic elimination method. In order to collect the required financial data and information, reported data from financial statements and audited financial statements of listed companies for a period of 7 years have been used and analyzed. Various statistical tests such as Limmer and Haseman F-test, Breusch-Pagan test, and panel data test have been used for inferential analysis of variables, and the results have been estimated using time series regression models and panel data, indicating that the herding behavior of investors has a significant impact on stock price fluctuations and industry indices. Additionally, these emotional behaviors and decision-making of investors can lead to increased volatility of returns and market instability.
