Journal of Risk and Financial Management最新文献

Exploring the Nexus of Dividend Policy, Third-Party Funds, Financial Performance, and Company Value: The Role of IT Innovation as a Moderator 探索股利政策、第三方资金、财务业绩和公司价值之间的关联：信息技术创新的调节作用

Journal of Risk and Financial Management Pub Date : 2024-05-17 DOI: 10.3390/jrfm17050210

Satria Amiputra Amimakmur, Muhammad Saifi, Cacik Rut Damayanti, Benny Hutahayan

{"title":"Exploring the Nexus of Dividend Policy, Third-Party Funds, Financial Performance, and Company Value: The Role of IT Innovation as a Moderator","authors":"Satria Amiputra Amimakmur, Muhammad Saifi, Cacik Rut Damayanti, Benny Hutahayan","doi":"10.3390/jrfm17050210","DOIUrl":"https://doi.org/10.3390/jrfm17050210","url":null,"abstract":"This research investigates the connection between dividend policy, third-party funds, financial performance, and company value, with a focus on IT Innovation as a moderating factor. This research was conducted using a quantitative approach, utilizing Commercial Banks listed on the Indonesia Stock Exchange categorized as BUKU 4 Banks during the period of 2016–2022. This study employed Partial Least Squares (PLS) analysis with WarpPLS 6.0 software as the tool for data analysis. This research concludes that dividend policy does not significantly impact financial performance and company value, while third-party funds have a significant positive effect on both financial performance and company value. Although dividend policy does not directly affect company value, its impact may occur through the mediation of financial performance. Additionally, IT Innovation serves as a moderating factor that strengthens the positive relationship between third-party funds and financial performance towards company value. The novelty of this research lies in the development of a more comprehensive model or concept regarding dividend policy, third-party funds, financial performance as a mediating variable, and company value when considering IT Innovation as a moderating variable.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140964247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Inductive Approach to Quantitative Methodology—Application of Novel Penalising Models in a Case Study of Target Debt Level in Swedish Listed Companies 定量方法的归纳法--瑞典上市公司目标债务水平案例研究中新型惩罚模型的应用

Journal of Risk and Financial Management Pub Date : 2024-05-15 DOI: 10.3390/jrfm17050207

Åsa Grek, Fredrik Hartwig, Mark Dougherty

{"title":"An Inductive Approach to Quantitative Methodology—Application of Novel Penalising Models in a Case Study of Target Debt Level in Swedish Listed Companies","authors":"Åsa Grek, Fredrik Hartwig, Mark Dougherty","doi":"10.3390/jrfm17050207","DOIUrl":"https://doi.org/10.3390/jrfm17050207","url":null,"abstract":"This paper proposes a method for conducting quantitative inductive research on survey data when the variable of interest follows an ordinal distribution. A methodology based on novel and traditional penalising models is described. The main aim of this study is to pedagogically present the method utilising the new penalising methods in a new application. A case was employed to outline the methodology. The case aims to select explanatory variables correlated with the target debt level in Swedish listed companies. The survey respondents were matched with accounting information from the companies’ annual reports. However, missing data were present: to fully utilise penalising models, we employed classification and regression tree (CART)-based imputations by multiple imputations chained equations (MICEs) to address this problem. The imputed data were subjected to six penalising models: grouped multinomial lasso, ungrouped multinomial lasso, parallel element linked multinomial-ordinal (ELMO), semi-parallel ELMO, nonparallel ELMO, and cumulative generalised monotone incremental forward stagewise (GMIFS). While the older models yielded several explanatory variables for the hypothesis formation process, the new models (ELMO and GMIFS) identified only one quick asset ratio. Subsequent testing revealed that this variable was the only statistically significant variable that affected the target debt level.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140974519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Stock Price Crash Risk on Bank Dividend Payouts 股价暴跌风险对银行派息的影响

Journal of Risk and Financial Management Pub Date : 2024-05-15 DOI: 10.3390/jrfm17050209

Justin Yiqiang Jin, Yi Liu

引用次数: 0

Application of the New Importance–Performance Analysis Method to Explore the Strategies of Rural Outdoor Dining Experiences in Taiwan 应用新的重要性绩效分析方法探索台湾乡村户外餐饮体验的策略

Journal of Risk and Financial Management Pub Date : 2024-05-15 DOI: 10.3390/jrfm17050208

Shang-Pin Li

{"title":"Application of the New Importance–Performance Analysis Method to Explore the Strategies of Rural Outdoor Dining Experiences in Taiwan","authors":"Shang-Pin Li","doi":"10.3390/jrfm17050208","DOIUrl":"https://doi.org/10.3390/jrfm17050208","url":null,"abstract":"Taiwan is an island where the city and nature combine to become the most beautiful open-air museum in the world, known as Formosa. With climate change and industrial development as the main changes in consumption behavior, the integration of ecology, the environment, and agriculture into food culture is gradually becoming valued in Taiwan. This study explores the quality of the rural outdoor dining experience in Taiwan; therefore, questionnaires were distributed to outdoor dining attendees from the north, central, south, and east, and we obtained 396 valid questionnaires. The rural outdoor dining satisfaction experience can be improved using the innovative New Importance–Performance Analysis (NIPA) model, which is based on the original IPA methodology but modified by the performance of the risk management judge. Additionally, we applied the zone of tolerance (ZOT) to evaluate the quality of priority and the importance–performance analysis (IPA) to make innovation decisions. The model also encourages decision-makers to consider environmental factors and customer feedback. It has not only been used to measure customer satisfaction, assess customer behavior, identify customer needs, and determine areas where quality needs to be improved, but it can also be used to measure the success of business decisions and identify potential areas for improvement. The results show that rural outdoor dining experiences in Taiwan have led to the development of a low carbon economy and a new business model for operators in order to follow the result of NIPA and develop service marketing strategies.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140976950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Navigating Financial Frontiers in the Tourism Economies of Kosovo and Albania during and beyond COVID-19 在 COVID-19 期间及之后，科索沃和阿尔巴尼亚旅游经济的金融前沿导航

Journal of Risk and Financial Management Pub Date : 2024-03-31 DOI: 10.3390/jrfm17040142

Enkeleda Lulaj, M. Tase, Conceição Gomes, Lucília Cardoso

{"title":"Navigating Financial Frontiers in the Tourism Economies of Kosovo and Albania during and beyond COVID-19","authors":"Enkeleda Lulaj, M. Tase, Conceição Gomes, Lucília Cardoso","doi":"10.3390/jrfm17040142","DOIUrl":"https://doi.org/10.3390/jrfm17040142","url":null,"abstract":"The problem addressed in this study is the profound impact of the COVID-19 pandemic on the tourism economies of Kosovo (KOS) and Albania (AL), which led to economic–financial stagnation and price increases. The aim was to analyze the financial frontier challenges facing the tourism industry during COVID-19 and beyond and propose effective strategies for shaping a sustainable future for countries within Europe with great potential for tourism development in the current decade. The survey was conducted in 102 locations, including cities, municipalities, regions, villages, and neighborhoods in both countries over the years 2020–2023, while data analysis was performed using a cluster analysis (K-means and hierarchical) and the multidimensional scaling method (Alscal). The results highlighted (a) the severe impact of COVID-19 on both the population and businesses in the tourism sector, which will persist beyond the pandemic, (b) the indispensable role of government intervention in alleviating the financial crisis, (c) the need for innovative approaches and accurate financial management by both the country and businesses to attract tourists, and (d) the importance of control and management for financial sustainability. This paper is of significant importance to tourism destinations as it provides insights into the severe impact of COVID-19 on both the population and businesses in the tourism economies. By highlighting the indispensable role of government intervention, the need for innovative approaches and accurate financial management, and the importance of control and management for financial sustainability, the study offers valuable guidance for tourism destinations in navigating the current crisis and attracting tourists. Furthermore, the paper emphasizes the need for future studies to explore opportunities for long-term financial resilience and growth, contributing to the development of sustainable tourism destinations.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Machine Learning Techniques for Predicting Banking Crises in India 评估预测印度银行危机的机器学习技术

Journal of Risk and Financial Management Pub Date : 2024-03-30 DOI: 10.3390/jrfm17040141

Sreenivasulu Puli, Nagaraju Thota, A. C. V. Subrahmanyam

{"title":"Assessing Machine Learning Techniques for Predicting Banking Crises in India","authors":"Sreenivasulu Puli, Nagaraju Thota, A. C. V. Subrahmanyam","doi":"10.3390/jrfm17040141","DOIUrl":"https://doi.org/10.3390/jrfm17040141","url":null,"abstract":"The historical prevalence of banking crises and their profound impact on global economies underscores the imperative for policy makers to refine their crisis forecasting frameworks. Against this backdrop, the present study endeavors to predict potential banking crises in India by leveraging a spectrum of artificial intelligence and machine learning techniques (AI-ML). These techniques encompass logistic regression, random forest, naïve Bayes, gradient boosting, support vector machine, neural networks, K-nearest neighbors, and decision trees. Initially, a banking fragility index was constructed utilizing monthly banking data spanning 2002 to 2023, demarcating the periods of crisis and stability. Subsequently, an extensive array of early warning indicators (EWIs) encompassing asset prices, macroeconomic factors, external influences, and credit-related variables were employed to forecast crisis periods. Our findings reveal that AI-ML models exhibit reasonable accuracy in predicting banking crises. Moreover, advanced model performance metrics highlight neural networks and random forest models as particularly effective in crisis prediction, surpassing other methodologies. Notably, among the EWIs, variables related to credit, interest rates, and liquidity emerge as possessing relatively higher information value in discerning fragilities within the Indian banking system. Importantly, the methodological framework presented herein can be extrapolated for banking crisis prediction in other economies.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approximating Option Greeks in a Classical and Multi-Curve Framework Using Artificial Neural Networks 利用人工神经网络在经典和多曲线框架下逼近期权希腊文

Journal of Risk and Financial Management Pub Date : 2024-03-29 DOI: 10.3390/jrfm17040140

Ryno du Plooy, Pierre J. Venter

引用次数: 0

Ostrom’s Razor: Using Bitcoin to Cut Fraud in Hollywood Accounting 奥斯特罗姆剃刀：利用比特币减少好莱坞会计中的欺诈行为

Journal of Risk and Financial Management Pub Date : 2024-03-29 DOI: 10.3390/jrfm17040139

Ted Rivera, Dave Foderick

{"title":"Ostrom’s Razor: Using Bitcoin to Cut Fraud in Hollywood Accounting","authors":"Ted Rivera, Dave Foderick","doi":"10.3390/jrfm17040139","DOIUrl":"https://doi.org/10.3390/jrfm17040139","url":null,"abstract":"The accounting principles prevalent in Hollywood are seemingly crafted to mislead creators and investors. Film studios and streaming platforms have been found to use complex strategies to annually divert millions in net profits. Many contracts include audit clauses, but the cost of auditing a billion-dollar system is prohibitive for most creatives with “net profit” deals. However, a resourceful minority have recovered billions in profits and damages. We suggest using Bitcoin’s transparent, immutable ledger to eliminate fraudulent accounting and build trust among profit-seeking filmmakers willing to trade maximum income for maximum profit per share. This trust can be spread globally utilizing the Bitcoin network as a transparent and immutable triple-entry accounting system. Our research shows that distributing this decentralized trust is achievable by configuring an ecosystem of existing Bitcoin wallets, applications, and recorded contracts to create a universal source of truth for all parties assisting in the creation of valuable content in the form of movies. This network can form the foundation on which to build a legal blockchain infrastructure that can eventually facilitate the sale of tokenized securities, discretely disseminate recorded financial data, and transparently distribute revenue to a collective of filmmakers indefinitely.","PeriodicalId":508146,"journal":{"name":"Journal of Risk and Financial Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140365907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Option Pricing Using a Skew Random Walk Binary Tree 使用偏斜随机漫步二叉树进行期权定价

Journal of Risk and Financial Management Pub Date : 2024-03-27 DOI: 10.3390/jrfm17040138

Yuan Hu, W. B. Lindquist, S. Rachev, Frank J. Fabozzi

引用次数: 0

Knowledge Sharing and Cumulative Innovation in Business Networks 商业网络中的知识共享和累积创新

Journal of Risk and Financial Management Pub Date : 2024-03-26 DOI: 10.3390/jrfm17040137

Gilles Saint-Paul

引用次数: 0