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 - 10 / 20

Hegemony of network capabilities, frugal innovation and innovation strategies: The innovation performance perspective
(MDPI, 2021) Haffar, Mohamed; Özcan, Rasim; Radulescu, Magdalena; Isac, Nicoleta; Nassani, Abdelmohsen A.; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
The emergence of advanced technologies has brought new challenges and opportunities for all kinds of business organizations. In a technologically advanced era, innovation plays a dominant role for the successful operation of the commercial landscape. Therefore, the current study was conducted to investigate the impact of network capabilities (NC) and frugal innovation (FI) on innovation performance (IP). Furthermore, the mediating role of FI and moderating role of innovation strategies has also been tested on the link between NC and IP. Small and medium enterprises (SMEs) registered with small and medium enterprises development authorities (SMEDA) were approached for the completion of the current study. Only 509 owner/managers agreed to participate. A quantitative research design was employed for the current study. During the two–three months process of data collection only 387 complete responses were received from the SMEs working in Pakistan’s big cities. Correlation, regression and bootstrap methods were applied to test the study hypotheses. The findings revealed that NC positively affect FI and IP. Furthermore, the findings also confirmed the mediating effect of FI between NC and IP link. The performance of SMEs working in emerging economies is largely based on their innovative activities. In this dynamic scenario SMEs’ survival is attached to continuous IP in their products and services.
Decentralized finance
(Springer Nature, 2021) Özcan, Rasim; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Newer and better ways of financing lubricates the wheels of an economy. In recent years, there have been phenomenal changes in technologies used in finance. One of such technologies was introduced by creating the first cryptocurrency Bitcoin. The technology behind this invention is known as blockchain. Although there are and there might be other use cases of blockchain technology, the finance era is important and currently it is the most adapted industry; currently there are a number of cryptocurrencies, tokens, smart contract applications among others. This article seeks to introduce the basics of—so called—decentralized finance (DeFi) through an exploration of blockchain technology in the field of finance. The focus is on the definition of decentralized finance, its elements, its current state and its future. Elimination of intermediary need, easier access, improved inclusiveness, and transaction speed, flexibility to write any contract that can be codable, immutability of transactions, better interoperability and censorship resistance are some of the main advantages of blockchain. Additionally, increased privacy, transparency, enhanced security, efficiency in the form of reduction in overhead costs for banks, and trust are considered as the benefits of blockchain technology in finance, hence for DeFi. Its power need due to the excessive computer power needs, setting standards in validating new blocks and in communicating between different networks are important issues. Besides, user experience, scalability, current speed of blockchain networks, regulations like AML and KYC requirements, the lack of regulation in DeFi, and interoperability are key issues as well. In summary, the current state of DeFi markets is not technologically able to provide a worldwide service at the scale the centralized finance provides. It needs improvements in its technology and sound regulations to gain wide acceptance.
The rise of robots! effects on employment and income
(Marmara Üniversitesi, 2019) Özcan, Rasim; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Disruptive technological advances will have profound impacts on the employment landscape over the years to come. As in the past, new technologies will change the way humans live and work. Some occupations will become obsolete, while new occupations will emerge. Consequently, people will be displaced from some occupations, be forced to require new skills so that they can work in new occu- pations. Although the introduction of new technologies –robotization– has many dimensions, its effe- cts will range from structural unemployment to distribution of labor income. The first question would be what will be the impact of new technologies on labor demand? Given that new technologies expectedly increase productivity, hence income, the second question would be how the raise be distributed between low and high skilled labor. Hence, this study focuses on the effects of robotization on the structural unemployment, its implications on labor demand and its income distribution effects. I review the current situation of robotization, and make recommendations to policy makers and corporate managers to get prepared for accelerating robotization and not only to mitigate its potential adverse effects on employment and income distribution, but also to take this as an opportunity to increase the quality of life for all.
Why Companies fail? The boiling frog syndrome
(Transstellar Journal Publications and Research Consultancy Private Limited (TJPRC PVT. LTD.), 2018) Özcan, Rasim; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Why do nations fail? An answer is given by Acemoglu and Robinson (2012) by pointing out the importance of institutions for an economy that leads to innovations for economic growth. Christensen (2012) asks a similar question for a firm and diagnoses why companies fail. This study relates Acemoglu and Robinson (2012) with Christensen (2012) in order to better understand how to make companies more prosperous, powerful, healthier, and live longer via innovations. In order not to cause a company to fail, instead of traditional financial ratios, in addition to understanding types of innovations, right metrics and incentives have to be employed in order to foster the innovative environment in a company. Only then companies are able to avoid slow, persistent deterioration that will result in fatalities, the boiling frog syndrome.
Why companies fail? The boiling frog syndrome
(2018) Özcan, Rasim; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
Why nations fail? An answer is given by Acemoglu and Robinson (2012) by pointing out the importance of institutions for an economy that leads to innovations for economic growth. Christensen (2012) asks a similar question for a firm and diagnoses why companies fail. In this study, I relate Acemoglu and Robinson (2012) with Christensen (2012) in order to better understand how to make companies more prosperous, more powerful, healthier, and live longer via innovations.
Whether the crypto market is efficient? Evidence from testing the validity of the efficient market hypothesis
(Bank Indonesia Institute, 2024) Özcan, Rasim; Khan, Asad ul Islam; Iftikhar, Sundas; Khan, Asad ul Islam; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
This study examines the validity of the efficient market hypothesis for the cryptocurrency market. We use the Exponential Generalized Autoregressive Conditional Heteroscedastic approach to examine the presence of different calendar anomalies i.e., the Halloween effect, the day-of-the-week (DOW) effect, and the month-of-the-year effect in the case of Bitcoin, Ethereum, XRP, Tether, and USD Coin. The findings show that there is no strong evidence of the Halloween effect. We find only robust Thursday and Saturday effects in the mean equation. In the case of the month-of-the-year effect, there is only a reverse January effect. More specifically, we note that April and February are statistically significant in the case of Bitcoin and Ethereum, respectively. Results obtained from the variance equations imply that September and October are the least risky months for investors.
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) Muhammad, Iftikhar; Özcan, Rasim; Jain, Vipin; Sharma, Paritosh; Shahzad Shabbir, Malik; Özcan, Rasim; 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.
Symmetric and asymmetric impacts of commercial energy distribution from key sources on economic progress in Pakistan
(MDPI, 2021) Rehman, Abdul; Özcan, Rasim; Badshah, Waqar; Radulescu, Magdalena; Öztürk, İlhan; Özcan, Rasim; 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.
Choosing solitude in turmoil, herding in the decentralized finance (DeFi) token market: An international perspective
(Korea Distribution Science Assoc, 2022) Özcan, Rasim; Khan, Asad ul Islam; Turgut, Murat; Napari, Ayuba; Khan, Asad ul Islam; Özcan, Rasim; 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.
Threat of intervention in cryptocurrency market: West side story of Bitcoin and Ripple
(Bucharest University of Economic Studies, 2023) Aysan, Ahmet Faruk; Khan, Asad ul Islam; Isac, Nicoleta; Drammeh, Ousman; Özcan, Rasim; 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.

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