Rasim Özcan

İktisat Bölümü, başta Türkiye ve çevre ülkeler olmak üzere küresel ekonomileri anlayan, var olan sorunları analiz ederken, iktisadi kuramları ve kavramları yetkin ve özgün bir şekilde kullanma becerisine sahip bireyler yetiştirmeyi amaçlamaktadır.

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Rasim Özcan

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Ekonomi, Finansal piyasalar, Manipülasyon ve Düzenleme, Blockchain Kripto Para Birim

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Listeleniyor 1 - 9 / 9

Till debt does us apart: Cross-country evidence on the relationship between microfinance prevalence and social distrust
(Public Library Science, 2023) Khan, Asad ul Islam; Özcan, Rasim; Masood, Syed Muhammad Usman; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Economic interventions have social consequences. In this paper, we explore one such relationship, between microfinance intensity and social distrust levels reported by the low-income people. We find a significant association between microfinance intensity in a country and distrust among the poor as well as ultra-poor in cross-section using World Values Survey & European Values Survey (WVS-EVS) Wave 7 (2017-2022). We supplement these findings using empirical Bayes on a panel extending back from 7th to the 4th WVS wave (1999-2004). To deal with potential endogeneity, we run 2SLS as well as weak instruments-robust conditional instrumental variable tests and find evidence showing microfinance prevalence intensity affects distrust levels among the poor and ultra-poor households. We find no association between microfinance and distrust levels in the rich in any of the tests, potentially because the rich are not exposed to microfinance.
Monetary policy and nonperforming loan ratios in a monetary union; a counterfactual study
(Emerald Publishing, 2023) Özcan, Rasim; Khan, Asad ul Islam; Napari, Ayuba; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Purpose – For close to two decades, the West African Monetary Zone (WAMZ) has been preparing to launch a second monetary union within the ECOWAS region. This study aims to determine the impact such a unionised monetary regime will have on financial stability as represented by the nonperforming loan ratios of Ghana in a counterfactual framework. Design/methodology/approach – This study models nonperforming loan ratios as dependent on the monetary policy rate and the business cycle. The study then used historical data to estimate the parameters of the nonperforming loan ratio response function using an Autoregressive Distributed Lag (ARDL) approach. The estimated parameters are further used to estimate the impact of several counterfactual unionised monetary policy rates on the nonperforming loan ratios and its volatility of Ghana. As robustness check, the Least Absolute Shrinkage Selection Operator (LASSO) regression is also used to estimate the nonperforming loan ratios response function and to predict nonperforming loans under the counterfactual unionised monetary policy rates. Findings – The results of the counterfactual study reveals that the apparent cost of monetary unification is much less than supposed with a monetary union likely to dampen volatility in non-performing loans in Ghana. As such, the WAMZ members should increase the pace towards monetary unification. Originality/value – The paper contributes to the existing literature by explicitly modelling nonperforming loan ratios as dependent on monetary policy and the business cycle. The study also settles the debate on the financial stability cost of a monetary union due to the nonalignment of business cycles and economic structures.
Threat of intervention in cryptocurrency market: West side story of Bitcoin and Ripple
(Bucharest University of Economic Studies, 2023) Aysan, Ahmet Faruk; Isac, Nicoleta; Drammeh, Ousman; Khan, Asad ul Islam; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
This study examines the impact of intervention threats on the price and volume volatility of Bitcoin and XRP. Using the Threshold or GJR-GARCH model, we analyse the relationship between news shocks (representing intervention threats) and the volatilities of Bitcoin and XRP price and volume returns, based on data from January 2014 to April 2021. The results indicate a significant association between news shocks and Bitcoin's price volatility, suggesting that intervention-related news events have a notable impact. However, the relationship between news shocks and XRP's price volatility is insignificant. Notably, XRP's volume returns demonstrate a positive and significant relationship with news shocks, while Bitcoin's volume returns do not exhibit a significant relationship. Additionally, past shocks and conditional variance shocks significantly contribute to the volatility of today's price or volume returns. These findings suggest that Ripple (XRP) may benefit from the implicit threat of intervention, strategically managing its availability to control price surges.
Symmetric and asymmetric impacts of commercial energy distribution from key sources on economic progress in Pakistan
(MDPI, 2021) Özcan, Rasim; Özcan, Rasim; Rehman, Abdul; Özcan, Rasim; Badshah, Waqar; Radulescu, Magdalena; Öztürk, İlhan; Yönetim Bilimleri Fakültesi, İktisat Bölümü; Yönetim Bilimleri Fakültesi, İktisat Bölümü
This paper aims to determine the interaction of commercial energy distribution, including the installed capacity of hydroelectric energy, hydroelectric energy generation, the installed capacity of thermal energy, thermal energy generation, the installed capacity of nuclear energy, and nuclear energy generation, with economic progress in Pakistan over the 1970–2019 period. Both linear and non-linear autoregressive distributed lag models were used to ascertain the symmetric and asymmetric short- and long-run effects. The findings from the linear autoregressive distributed lag model analysis revealed evidence that increases in the installed capacity of nuclear energy, alongside higher levels of hydroelectric energy generation and thermal energy generation, have positively affected economic growth in the short run, while a greater installed capacity of nuclear energy has positively affected economic growth in the long run. The findings from the non-linear autoregressive distributed lag model analysis showed that negative shocks to installed capacities related to hydroelectric, thermal, and nuclear energy reduced economic growth, while positive shocks to hydroelectric energy generation and the installed capacity of nuclear energy boosted economic growth in the short run. Furthermore, in the long run, negative shocks to the installed capacities of hydroelectric and thermal energy reduced economic growth, negative shocks to the installed capacity of nuclear energy enhanced economic growth, and positive shocks to hydroelectric energy generation and the installed capacity of nuclear energy have stimulated economic growth in Pakistan.
The language of sustainability: Exploring the implications of metaphors on environmental action and finance
(Corvinus University of Budapest, 2023) Napari, Ayuba; Özcan, Rasim; Khan, Asad ul Islam; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
The relationship between humans and the environment is complex. To capture this complex relationship, metaphors/concepts have always been used. The most prominent of these metaphors/conceptions is the limits concept. This views the natural environment in terms of its carrying capacity and contend that human actions must be controlled so as not to overwhelm the environment. For overburdening the environment will result in a collapse of the natural system. The environmental optimists on the other hand discount the carrying capacity contending that human ingenuity and the market mechanism will overcome any temporary environmental problems that may arise. A tempered version of both is the political-ecological class of metaphors/conceptions which emphasize the political, cultural, and economic factors responsible for environmental decay and/or restoration. In this study, the implications of these metaphors/conceptions on environmental action and environmental finance are examined. It is concluded that, the limits conception views environmental action as a top-bottom endeavor and places governmental and multilateral organizations at the center of environmental and climate finance. The neoclassical and technological optimist concepts contend that, the current capitalist structure is well suited to tackle environmental externalities and government policy should encourage eco-innovation preferable through public-private partnerships. The tapestry and the political-ecological class of metaphors envisages a role for central authorities as well as private local individuals with crowdfunding and corporate social/environmental responsibilities along with governmental and multilateral aid and public-private partnerships being some of the main sources of funds for environmental protection and restoration.
Assessing the impact of financial obstacles on manufacturing firm's capacity utilization: Bayesian approach
(University Indonesia, 2023) Hassan, Arab Dahir; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
This study investigates the relationship between financial obstacles and the capacity utilization of manufacturing firms. It departs from previous studies by employing a Bayesian linear regression analysis. The results demonstrate the considerable negative effect that financial constraints have on the capacity utilization of manufacturing enterprises, while access to credit lines has a positive ef-fect. The sample consists of 1,494 private manufacturing firms in 31 European and Central Asian countries. Financial obstacles were perceived as a major impediment to business operations by 65% of the enterprises surveyed. Furthermore, 52% of enterprises in the sample have access to loans from financial institutions, while 47% have no access to credit lines. This implies that the manufacturing sector’s capacity to tap into financial market resources and surmount financial barriers both is vital to its survival and presents a significant challenge.
Does environmental sustainability afect the renewable energy consumption? Nexus among trade openness, CO2 emissions, income inequality, renewable energy, and economic growth in OECD countries
(Springer Nature, 2022) Özcan, Rasim; Muhammad, Iftikhar; Jain, Vipin; Sharma, Paritosh; Shahzad Shabbir, Malik; Yönetim Bilimleri Fakültesi, İktisat Bölümü
This study investigates the impact of carbon emissions, real oil prices, income inequality, economic growth, and trade openness on renewable energy consumption (REC) in twenty-three (23) OECD economies. The study employs the Westerlund panel cointegration technique to verify the existence of long-run equilibrium and the Augmented Mean Group (AMG) estimator to assess the long-run relationship between the variables, which allows for slope heterogeneity and cross-sectional dependency. Moreover, the panel causality test of Dumitrescu and Hurlin (DH) is utilized to gauge the causal relationship between the variables. The fndings of our study reveal that REC is positively related to economic growth, real oil prices, income inequality, and trade openness, but negatively related to CO2 emissions in OECD countries. In addition, there is one-way causality from GDP per capita to renewable energy consumption and a bidirectional causality between income inequality and REC. Furthermore, the results indicate that OECD policymakers and governments should regard foreign trade as a “clean energy fostering mechanism” while developing energy demand policies that are environmentally friendly.
Determinants of job mismatch among graduates: A case study of clerical workers at Lahore, Pakistan
(Penerbit Univ. Kebangsaan Malaysia, 2022) Chaudhry, Mumtaz Anwar; Khalid, Rabia; Özcan, Rasim; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Job mismatch among graduates reflects inefficiencies in the labor market. An imbalance between the demand and supply of graduates in the labor market leads to a horizontal mismatch. Nations make progress based on knowledge and education but despite obtaining higher education individuals are unable to find a job related to their field of study. This phenomenon occurs when educational institutes produce a large number of graduates while on the other hand, the supply of graduates exceeds the demand for graduates. This study aims to find out the determinants of horizontal mismatch and to analyze the reasons why workers have accepted the mismatched job. By using the worker’s self-assessment method required data is collected from the clerical workers of public and private sector universities at Lahore in 2019. These universities include the University of the Punjab, Lahore, and the University of Management and Technology, Lahore. Results of Logistic Regression analysis concluded that cost of job search, asymmetric information, and methods used to find a job are the most important determinants of job-mismatch. This study has also analyzed the reasons why workers have accepted their present mismatched job. Findings concluded that individuals accepted mismatched-job due to pay and promotion opportunities and a good working environment. This study suggested establishing linkages between educational institutes and industries to better formulate the policy that reduces the extent of horizontal mismatch.
Choosing solitude in turmoil, herding in the decentralized finance (DeFi) token market: An international perspective
(Korea Distribution Science Assoc, 2022) Khan, Asad ul Islam; Özcan, Rasim; Turgut, Murat; Napari, Ayuba; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Financial markets have long been known to be prone to behavioral biases. One such behavioural bias that is consequential yet pervasive in financial markets is the herd effect. The objective of this study is to determine whether or not there exist herd behaviour in the new and bourgeoning Decentralized Finance (DeFi) Tokens market. This is accomplished by using daily returns of 22 DeFi tokens from January 29, 2017 to August 19, 2021, and the Cross-sectional Absolute Deviation (CSAD) of market returns to capture herd behavior. The results fail to provide any evidence of herding in the DeFi token market on bullish days, that is days for which the average market returns is positive. For bearish days however, that is days for which the market returns is negative, our empirical findings point to the presence of adverse herding in the DeFi token market. This phenomenon can be explained to some extent by the investor composition of the DeFi market. The DeFi token space is a growth market dominated by experts and/or enthusiasts who are insulated against the temptation and panic of negative market swings by the level of market and technical information they possess on the assets they invest.

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