International Journal of Social Science & Entrepreneurship
https://ijsse.salmaedusociety.com/index.php/ijsse
<p>IJSSE is a peer-reviewed International journal of Social Science and <em><strong> </strong></em>Entrepreneurship with a key objective to provide the academic and industrial community a medium for presenting original high-quality research or extended version of previously published research related to (but not strictly limited to) its scope which covers the wider aspects of high-quality research.</p> <p><strong>The Journal is presently recognized by the Higher Education Commission (HEC) of Pakistan in the "Y" Category.</strong></p>Salma Educational Societyen-USInternational Journal of Social Science & Entrepreneurship2790-7716Global Attractive Index for Money laundering using Walker’s Gravity Model: An Approach to Determine the Preferred Destinations
https://ijsse.salmaedusociety.com/index.php/ijsse/article/view/358
<p>This study develops a Money Laundering Attractiveness Index (MLAI) for the countries that are preferred for money laundering. The study first discussed the concept of money laundering and the size and volume of money laundered. Walker’s Gravity Model has been used to determine the preferred destinations. The model was developed by John Walker to estimate the illegal funds flow globally. The model consists of two segments, including attractiveness and distance. Data from 2002 to 2022 has been collected and analyzed across approximately 150 countries. The study examined the flow of illegal funds from the source country to the preferred destination among all income groups classified by the World Bank. The results show that countries with stable economic conditions and a higher standard of living hold the top positions in the money laundering attractiveness index. The study underscores the need for coordinated global action and recommends revisiting current anti-money laundering strategies. The proposed index offers a valuable tool for intergovernmental bodies and policymakers to develop more targeted and effective responses against organized crimes like money laundering.</p>Wahaj Ahmed KhanDr. Danish Ahmed Siddiqui
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2025-06-302025-06-305212610.58622/ijsse.v5i2.358The Influence of Fintech and Technology Stock Indices on Cryptocurrencies Dynamics: A Quantile Regression Approach
https://ijsse.salmaedusociety.com/index.php/ijsse/article/view/359
<p>This study examines the asymmetric and nonlinear linkages between the major cryptocurrencies of Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Ripple (XRP) and the major financial indices of KBW NASDAQ Financial Technology Index and the Dow Jones Global Technology Index using Quantile-on-Quantile Regression (QQR).We investigate how bitcoin responds to the financial indices in different quantiles of the return distribution using a monthly time-series data set January 01, 2020 to December 31, 2024. Cryptocurrencies provide strong responses on quantile conditional dependence, illustrating how various market conditions impact other financial variables. These impacts emphasize the diversification and risk amplification features of cryptocurrencies and are especially evident at times of excessive market optimism and pessimism. The paper also highlights the necessity of keeping an eye on the connections between crypto assets and the financial industry in order to provide suitable regulatory responses to dangers that emerge in a sector that has been seeing significant growth. The findings of the correlation between traditional financial markets and the digital asset ecosystem will likely teach investors, policymakers, and regulators a lot.</p>Muqaddas Noureen Dr. Ammar Ahmed SiddiquiMuhammad Laraib Irfan Ahmed
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2025-06-302025-06-3052275310.58622/ijsse.v5i2.359Understanding The Influence of Remittances on Household Consumption and Investment Trends in Pakistan
https://ijsse.salmaedusociety.com/index.php/ijsse/article/view/360
<p>The effect of remittance inflows on Pakistan's economy, in relation to household consumption and investment behavior, is the subject matter of this research. With monthly observations starting from 2005, data from the World Bank is used in this analysis, where a Vector Autoregression (VAR) model in R Studio is employed to explore the remittances-GDP growth-investment consumption-CPI relationship. The impulse response function enables short-run responses to shocks in remittances to be depicted, and the variance decomposition calculates the proportion of variations in reference economic indicators due to remittances. The results validate that remittances have a critical, if transitory, function to fulfill in stimulating GDP growth, triggering investment, and enhancing domestic consumption in Pakistan. Of note is that their temporary effect on inflation (on the CPI basis) is mildly adverse but fleeting. The most probable reason is that the initial boost in investment and spending temporarily relieves pressures on the price's downward movement while this effect recedes subsequently. This research provides crucial insights to policymakers and planners of the economy, emphasizing the importance of developing well informed policy responses that capitalize on remittance development potential to its fullest. It thus contributes fresh perspectives to ongoing academic discussions regarding remittance-fostered economic change in developing nations such as Pakistan and bridges significant gaps in literature.</p>Muhammad Zaman Aizaz Ahmed Dr. Saima Tabassum Imdad Hussain
Copyright (c) 2025
2025-06-302025-06-3052546210.58622/ijsse.v5i2.360