Khan, Asad ul Islam
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Yönetim Bilimleri Fakültesi, İktisat Bölümü
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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Khan
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Solunum Sistemi, Genel ve Dahili Tıp, Çevre Bilimleri ve Ekoloji, İş Ekonomisi, Bilim ve Teknoloji
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18 sonuçlar
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Listeleniyor 1 - 10 / 18
Yayın The impact of US sanctions on the Consumer Price Index (CPI) of Turkey(Academy of Economic Studies, 2021) Khan, Asad ul Islam; Özcan, Rasim; Badshah, Waqar; Abdul-Malik, Amaama; Yönetim Bilimleri Fakültesi, İktisat BölümüThis paper addresses the assessment of effect of the sanctions imposed on Turkey by the United States of America in the year 2018 on the Consumer Price Index (CPI) of Turkey. The study used a cross sectional data from the 81 provinces in Turkey for the periods of 2016 to 2018 from Turkish Statistical Institute (TUIK). Dummy variable with Ordinary Least Squares (OLS) estimation method is used to determine that how the sanctions affected the CPI over that period by looking at the years before 2018, the year the sanctions were imposed.Yayın Education expenditure and economic growth nexus: Evidence from the MINT(İbn Haldun Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2022) Odeyemi, Adebayo Abdulateef; Khan, Asad ul Islam; Khan, Asad ul IslamThe MINT - Mexico, Indonesia, Nigeria and Turkey - are from the countries projected to attain a significant level of economic success in the years to come. As a result of the demographic and geographic characteristics of these countries, they have the potential to push their economies to a globally competitive standard that is suitable for rapid economic development and advancement. From the prerequisites for the actualisation of such standard is the improvement in the quality of labour and deliberate investment in human capital through education. This study examines the viability of such prospects for the MINT by investigating education expenditure and economic growth relationship in the MINT. Through the use of a panel data set ranging from the year 1994 to the year 2020, the study utilises panel Dynamic Least Squares (DOLS) and Fully Modified Least Squares (FMOLS) methods to examine the impact of education expenditure on growth in the MINT, and the finding from the study shows that there is a long-run relationship between education expenditure and economic growth. Expenditure on education positively affects economic growth in Mexico, Indonesia, Nigeria and Turkey. More specifically, according to findings in this study, it is observed that a unit increase in the percentage of education expenditure will result in a 3 - 4 per cent increase in economic growth in the MINT. Labour also significantly impacts economic growth in the MINT. The results for the countries imply that expenditure on education and human capital should be encouraged, as evidence from this study conforms to findings from the literature.Yayın Examining the shifting dynamics of the Beveridge curve in the Turkish labor market during crises(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Babangida, Jamilu Said; Khan, Asad ul Islam; Aysan, Ahmet Faruk; Yönetim Bilimleri Fakültesi, İktisat BölümüFollowing the global financial crisis, an increasing amount of attention has been directed towards examining the Beveridge curve (BC), which indicates the relationship between unemployment and vacancy rates. This research analyzes the unemployment–vacancy rate dynamics in the Turkiye labor market during both the global financial crisis and COVID-19 periods. The findings from this study demonstrate that the labor market exhibits deteriorating efficiency, as evidenced by movement of BC away from the origin. The unemployment and vacancy rates both increase over time, with a leftward (rightward) shift of BC during the global financial crisis (COVID-19) period. The study also reveals that both crises had no significant effect on unemployment–vacancy rate dynamics. In the Turkish labor market, there exists a situation where the vacancy rate is in shortfall of the unemployment level in Turkiye. This creates a positive relationship between these two factors. The labor market in Turkiye experiences inefficiencies as it struggles to generate a sufficient number of jobs to meet the demand from job seekers.Yayın Public attitudes toward higher education using sentiment analysis and topic modeling(Springer Nature, 2024) Göçen, Ahmet; Ibrahim, Mahat Maalim; Khan, Asad ul Islam; Yönetim Bilimleri Fakültesi, İktisat BölümüThis study examines higher education through data-mining methodologies, aiming to uncover key themes and sentiments in global discourse. Utilizing sentiment analysis and topic modeling, the research analyzes 157,943 tweets from 84,423 unique users over a five-month period (January to May 2023). This period was selected, coinciding with the rise of artificial intelligence (AI) tools, particularly ChatGPT. The study investigates the discussions, emotional tones, and dominant topics shaping the global narrative of higher education within X (Twitter) data. Key findings include the geographical distribution of tweets and the most frequent positive and negative perceptions. It also addresses critical issues such as affordability, accessibility, and funding in higher education. Furthermore, the data shows public reactions to AI in higher education are initially negative, while higher education tweets are primarily characterized by positivity and optimism. The higher education tweets are mainly posted on the weekend, with decreased activity during weekdays. This research provides insights into the evolving higher education landscape amid rapid technological advancements.Yayın 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 BölümüEconomic 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.Yayın Whether the crypto market is efficient? Evidence from testing the validity of the efficient market hypothesis(Bank Indonesia Institute, 2024) Iftikhar, Sundas; Khan, Asad ul Islam; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat BölümüThis 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.Yayın Stock market tumble sparks crypto chaos: A crash risk spillover analysis(Hungarian Central Statistical Office, 2024) Khan, Asad ul Islam; Özcan, Rasim; Abdul Rahman, Mutawakil; Waheed, Abdul; Yönetim Bilimleri Fakültesi, İktisat BölümüThe study employs an empirical Bayesian estimation approach to examine how the crash risk of the G-7 (United States [US], United Kingdom [UK], Japan, Germany, Canada, and France excluding Italy) and Chinese equity markets affects the crash risk of the top 11 cryptocurrencies. Two crash risk measures were adopted to determine the monthly crash risk of the two types of markets, which are the most appropriate for skewed returns. Four separate models were estimated using the empirical Bayes estimation method because it considers heterogeneity, is more efficient than least squares, and facilitates more accurate coefficient estimation. The results reveal that the German stock market's crash risks are significantly and contemporaneously associated with the crash risk of all 11 cryptocurrencies, indicating that the German equity market is not a reliable diversifier for cryptocurrencies. The crash risks of the US, UK, and Japanese (German and Canadian) equity markets have a positive (negative) impact on the crash risk of cryptocurrency markets with a one-month lag. Generally, lagged crash risks have a more substantial influence on cryptocurrency crash risk, suggesting that historical crashes in equity markets are better predictors of cryptocurrency crashes. The one-month significant delay effect may present arbitrage opportunities because the risk of crashes in stock markets may signal potential crashes in cryptocurrencies one month in advance. A series of robustness checks confirmed the results of the analysis and the validity of our conclusions. These findings suggest that crypto investors and policy-makers should pay attention to historical events in equity markets. Investors and portfolio managers in the cryptocurrency market should monitor unexpected fluctuations in the stock market, particularly significant declines that could result in significant losses in the future.Yayın Subsample stability, change detection and dynamics of oil and metal markets: A recursive approach(Elsevier, 2023) Khan, Asad ul Islam; Shahbaz, Muhammad; Napari, Ayuba; Yönetim Bilimleri Fakültesi, İktisat BölümüThe analysis of historical price data for patterns and using such patterns for predictions and policy recommendations has become ubiquitous in the existing economics literature. These predictions and recommendations are premised on the stability of the statistical properties and inter-variable dynamics for which a single regime or few number of regimes can capture. This, however, is a strong assumption with serious repercussions if violated. In this study, the appropriateness of the stability assumption is questioned using various recursive regressions to test stability, consistency of stationarity and stability in inter-variable dynamics between crude oil, gold, silver, and platinum prices. Using monthly data sourced from the World Bank Commodity Price Data (Pink Sheet) from January 1, 9960 to March 2022, our empirical analysis found level prices of oil, gold, and platinum to be consistently non-stationary with rare exceptions. The level price of silver however is found to be inconsistent with multiple regime switches while the logged series of all variables yielded non-stationarity. The default is stationarity for all the variables when price series are logged differenced and/or differenced for oil, silver, and platinum. Differenced gold prices resulted in inconsistent stationarity with multiple regime changes. Even if rare, the stationarity of all the variables is dependent on time and sample size due to the inconsistence in the stationarity verdict. On the bi-variate relationship in the long run, only level silver prices are found to be cointegrated with oil while logged silver prices are inconsistently cointegrated with logged oil prices. Also, in the short-run, only log of oil prices is found to Granger cause log of silver prices. It is thus recommended that researchers and policy makers be tempered in extrapolating statistical findings in general and the price and interprice dynamics of oil, gold, silver and platinum into the future.Yayın Is the effect of a health crisis symmetric for physical and digital financial assets? An assessment of gold and bitcoin during the pandemic(Public Library of Science, 2023) Badshah, Waqar; Musah, Mohammed; Khan, Asad ul Islam; Özer, Ercan; Yönetim Bilimleri Fakültesi, İktisat BölümüThe emergence of the covid-19 health crisis, in this advanced technological era where connections between markets, nations, and economies have grown stronger than ever before, the shock of the COVID-19 pandemic quickly had an impact on both physical and digital financial assets. The Chinese financial market experienced the first consequences of the covid-19 pandemic, then spilled over to other financial markets, including those for cryptocurrencies and the precious metals. This study examines the impact of the covid-19 pandemic on the volatilities of the dynamics of bitcoin and gold. Both assets share some characteristics, such as online trading platforms, however, gold is a tangible financial asset unlike bitcoin, which is digitally generated without any physical form. This study argues that the similarities and differences between bitcoin and gold play major roles in how the covid19 crisis affected their respective dynamics. Using daily data ranging from 9/22/2014 to 1/ 31/2023 and employing ARMA as the mean equation for GARCH model, the impact of the health crisis (covid-19) is examined on the volatilities of the prices and volumes of bitcoin and gold. Empirical evidence points out that, the pandemic has a symmetric impact on the volatilities of bitcoin and gold price returns, causing them to be more volatile. The impact of the covid-19 observed on the volume returns of the assets, however, is asymmetrical. The empirical results give evidence to the role that the vital differences existing between these assets played during the covid-19 pandemic.Yayın 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 BölümüFinancial 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.
