https://semarakilmu.com.my/journals/index.php/sijmaf/issue/feed 2024-09-20T00:00:00+07:00 Norazwa Mohamed Hariri azwah@semarakilmu.com.my Open Journal Systems <p>The <strong>Semarak International Journal of Modern Accounting and Finance (SIJMAF)</strong> endeavors to narrow the divide between accounting theory and real-world application by tackling crucial issues within this area. It aims to foster interdisciplinary and international comprehension of the various factors influencing reporting and accounting practices. SIJMAF covers research, studies, and discussions related to contemporary accounting principles, financial management, and their applications in modern business environments. Its scope includes topics such as financial reporting, auditing, managerial accounting, corporate finance, and related areas of interest within the field of accounting and finance.</p> <h3><strong>EVENTS UPDATE</strong><br /><br /><strong>Semarak International Research Article Competition 2024 III </strong>(SIRAC 2024 III)</h3> <p><a href="https://submit.confbay.com/conf/sirac2024_3"><strong><img src="https://akademiabaru.com/submit/public/site/images/nurulain/sirac-iii.png" alt="" width="931" height="470" /></strong></a></p> <div class="tribe-events-schedule tribe-clearfix">Welcome to our esteemed research article competition! We’re thrilled to invite scholars, researchers, and practitioners worldwide to showcase their groundbreaking [...] <a href="https://submit.confbay.com/conf/sirac2024_3"><strong>READ MORE &gt;&gt;</strong></a></div> https://semarakilmu.com.my/journals/index.php/sijmaf/article/view/10619 2024-06-19T01:28:10+07:00 Razinda Tasnim Abdul Rahim razindatasnim@kuips.edu.my Nur Syamilah Md Noor nsyamila@kuips.edu.my

<p>Digital technology has forced entrepreneurs and businessmen to reconsider their business models (BMs). Although research on entrepreneurial intention and business models is gaining attention, there is still a large knowledge gap on both fields. In this study, researchers specifically address the financial transaction channels of digitalization on business model practice among foodpreneurs in Perlis. Several channels or platforms such as online banking, financial mobile application, and others banking application are studied. It is to foresee the business model practice among foodpreneurs. In addition, this study employed qualitative method. The data collected was among foodpreneurs that run food and beverages industry in Perlis. Furthermore, this study exposed on the common platforms used by the foodpreneurs. At the end of this study, a digitalization foodpreneurs model was presented and discussed.</p>

2024-09-20T00:00:00+07:00 Copyright (c) 2024 Semarak International Journal in Modern Accounting and Finance https://semarakilmu.com.my/journals/index.php/sijmaf/article/view/11923 2024-08-01T16:15:52+07:00 Nur Shafiqah Najwa Mohd Fairuz shafiqahnajwafairuz@gmail.com Siti Mariam Norrulashikin sitimariam@utm.my Andi Daniah Pahrany andi.daniah.fmipa@um.ac.id Nur Arina Bazilah Kamisan nurarinabazilah@utm.my

<p>In the field of finance, understanding the dependencies between financial variables is crucial for effective risk management and decision-making. Copulas are powerful tools used to model these dependencies, enabling more accurate financial predictions and assessments. However, accurate estimation of copula parameters remains a significant challenge, impacting the reliability of the dependency structures modeled. This study addresses this problem by evaluating the effectiveness of four parameter estimation methods: maximum likelihood estimation, pseudo maximum likelihood, inversion of the rank correlation coefficient based on Kendall’s tau and Spearman’s rho. The objective is to determine which method provides the most accurate estimates for financial applications. The methodology involves a comparative analysis using exchange rate data for the Malaysian Ringgit against the U.S. Dollar and the Euro, covering the period from 1999 to 2023, sourced from Bank Negara Malaysia. Various copula families, including Gumbel, Clayton, Frank, Gaussian, and Student’s t, are employed to model the dependencies between these exchange rates. The study involves transforming the marginals of the sample data into uniform variates, estimating copula parameters, and evaluating the models' performance using the Root Mean Square Error (RMSE) as a measure of goodness-of-fit. The principal results indicate that the Frank copula, exhibits the lowest RMSE, demonstrating superior performance in capturing the dependency structure of the data. This finding highlights the suitability of the Frank copula for financial risk management and decision-making. In conclusion, this analysis enhances the understanding of copula parameter estimation in finance, providing insights into the effectiveness of different methods and their practical applications in modeling financial dependencies.</p>

2024-09-20T00:00:00+07:00 Copyright (c) 2024 Semarak International Journal in Modern Accounting and Finance