Khan, Asad ul Islam

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İnsan ve Toplum 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

İlgi Alanları

Solunum Sistemi, Genel ve Dahili Tıp, Çevre Bilimleri ve Ekoloji, İş Ekonomisi, Bilim ve Teknoloji

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Listeleniyor 1 - 10 / 26
  • 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 Islam
    The 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
    A comparative assessment of frequentist forecasting models: Evidence from the S&P 500 pharmaceuticals index
    (Istanbul University, 2023) Muneza, Christian; Khan, Asad ul Islam; Badshah, Waqar; Khan, Asad ul Islam; İnsan ve Toplum Bilimleri Fakültesi, İktisat Bölümü
    This paper compares three forecasting methods, the autoregressive integrated moving average (ARIMA), generalized autoregressive conditional heteroscedasticity (GARCH), and neural network autoregression (NNAR) methods, using the S&P 500 Pharmaceuticals Index. The objective is to identify the most accurate model based on the mean average forecasting error (MAFE). The results consistently show the NNAR model to outperform ARIMA and GARCH and to exhibit a significantly lower MAFE. The existing literature presents conflicting findings on forecasting model accuracy for stock indexes. While studies have explored various models, no universally applicable model exists. Therefore, a comparative analysis is crucial. The methodology includes data collection and cleaning, exploratory analysis, and model building. The daily closing prices of pharmaceutical stocks from the S&P 500 serve as the dataset. The exploratory analysis reveals an upward trend and increasing heteroscedasticity in the pharmaceuticals index, with the unit root tests confirming non-stationarity. To address this, the dataset has been transformed into stationary returns using logarithmic and differencing techniques. Model building involves splitting the dataset into training and test sets. The training set determines the best-fit models for each method. The models are then compared using MAFE on the test set, with the model possessing the lowest MAFE being considered the best. The findings provide insights into model accuracy for pharmaceutical industry indexes, aiding investor predictions, with the comparative analysis emphasizing tailored forecasting models for specific indexes and datasets.
  • Yayın
    Constant time calculation of the metric dimension of the join of path graphs
    (MDPI, 2023) Zhang, Chuanjun; Haidar, Ghulam; Khan, Murad ul Islam; Yousafzai, Faisal; Hila, Kostaq; Khan, Asad ul Islam; Khan, Asad ul Islam; İnsan ve Toplum Bilimleri Fakültesi, İktisat Bölümü
    The distance between two vertices of a simple connected graph G, denoted as (Formula presented.), is the length of the shortest path from u to v and is always symmetrical. An ordered subset (Formula presented.) of (Formula presented.) is a resolving set for G, if for ∀ (Formula presented.), there exists (Formula presented.) ∋ (Formula presented.). A resolving set with minimal cardinality is called the metric basis. The metric dimension of G is the cardinality of metric basis of G and is denoted as (Formula presented.). For the graph (Formula presented.) and (Formula presented.), their join is denoted by (Formula presented.). The vertex set of (Formula presented.) is (Formula presented.) and the edge set is (Formula presented.). In this article, we show that the metric dimension of the join of two path graphs is unbounded because of its dependence on the size of the paths. We also provide a general formula to determine this metric dimension. We also develop algorithms to obtain metric dimensions and a metric basis for the join of path graphs, with respect to its symmetries.
  • Yayın
    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; İnsan ve Toplum 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.
  • Yayın
    Till debt does us apart: Cross-country evidence on the relationship between microfinance prevalence and social distrust
    (Public Library Science, 2023) Masood, Syed Muhammad Usman; Özcan, Rasim; Khan, Asad ul Islam; Khan, Asad ul Islam; Özcan, Rasim; İnsan ve Toplum 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.
  • Yayın
    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; İnsan ve Toplum 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.
  • Yayın
    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; İnsan ve Toplum 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.
  • Yayın
    The impact of US sanctions on the Consumer Price Index (CPI) of Turkey
    (Academy of Economic Studies, 2021) Badshah, Waqar; Abdul-Malik, Amaama; Khan, Asad ul Islam; Özcan, Rasim; Khan, Asad ul Islam; Özcan, Rasim; İnsan ve Toplum Bilimleri Fakültesi, İktisat Bölümü
    This 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
    Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices
    (Elsevier, 2023) Shahbaz, Muhammad; Khan, Asad ul Islam; Mubarak, Muhammad Shujaat; Khan, Asad ul Islam; İnsan ve Toplum Bilimleri Fakültesi, İktisat Bölümü
    This paper is to find how the existence of a long-run relationship between oil prices and metals prices evolved for the time from January 1979 to December 2017. The rolling-window autoregressive lag mod- eling (RARDL) testing approach of cointegration has been introduced and applied to assess the long-run relationship considering four rolling windows of 5, 10, 15, and 20 years. The empirical evidence concludes that for a small rolling window of 5 years, there is no evidence of the long-run relationship between oil prices and metals prices, i.e. gold, platinum, and silver. However, there is a long-run relationship between oil prices and steel prices from December 2003 to December 2014. At larger rolling windows of 10, 15 and 20 years, oil prices and gold prices are not cointegrated; however, steel, silver, and platinum have a long-run relationship with oil prices in different periods.
  • Yayın
    Social behaviour towards tax payment: A survey-based evidence from SADC countries
    (Hüzeyfe Süleyman Arslan, 2023) Khan, Asad ul Islam; Ibrahim, Mahat Maalim; Kaplan, Muhittin; Khan, Asad ul Islam; Kaplan, Muhittin; İnsan ve Toplum Bilimleri Fakültesi, İktisat Bölümü
    Tax non-compliance and its consequences have become a subject of increasing interest in academic literature and economic forums worldwide. While most studies on this issue focus on developed countries, there is a growing trend to explore understudied developing countries. To fill this gap, we investigated tax evasion drivers in eight Southern African Development Community (SADC) countries, using the round 7 Afrobarometer survey data conducted in 2019-2020. The survey's comprehensive coverage of economic, political, and sociological questions made it one of the most extensive surveys on the continent. We used logistic regression and Empirical Bayesian estimation and found that political legitimacy significantly influences tax evasion behavior in the SADC region. Individuals residing within the SADC are more likely to engage in tax evasion activities when they perceive a lack of access to fundamental services provided by their governments or harbor doubts about the legitimacy of political institutions. Therefore, policymakers in SADC member states should prioritize reviewing and evaluating economic policies, the performance and efficiency of political institutions, and more inclusive governance. We suggest that a strong and legitimate political framework, coupled with effective service delivery, can contribute to reducing tax evasion rates and enhancing public welfare outcomes. Institutional reforms, increased transparency, accountability, and a more inclusive governance system are necessary for fostering a culture of compliance and trust, leading to improved revenue collection.