Template-Type: ReDIF-Article 1.0 Author-Name: Dirk Ehnts Author-X-Name-First: Dirk Author-X-Name-Last: Ehnts Title: About monetary policy, SVB, and bank quakes Abstract: The demise of Silicon Valley Bank (SVB) has reminded us of the financial crises of the past. While during the global financial crisis credit risk was the problem, banks are now hit with interest rate risk. SVB seems to have ignored basic principles of risk management, as an increase in interest rates was bound to happen sooner or later. The episode nevertheless has reopened the debate of how to regulate banks and how to run macroeconomic policy. It seems that fiscal policy will replace monetary policy once again as the major instrument with which to stabilise the economy. Journal: Int. J. of Pluralism and Economics Education Pages: 47-54 Issue: 1 Volume: 14 Year: 2023 Keywords: macroeconomic management; banking supervision; Silicon Valley Bank; SVB; fiscal policy. File-URL: http://www.inderscience.com/link.php?id=133637 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijplur:v:14:y:2023:i:1:p:47-54 Template-Type: ReDIF-Article 1.0 Author-Name: Sumedha Tuteja Author-X-Name-First: Sumedha Author-X-Name-Last: Tuteja Author-Name: Punam Bhoyar Author-X-Name-First: Punam Author-X-Name-Last: Bhoyar Author-Name: Krishna Kumar Singh Author-X-Name-First: Krishna Kumar Author-X-Name-Last: Singh Author-Name: Aruna Dev Rroy Author-X-Name-First: Aruna Dev Author-X-Name-Last: Rroy Title: Predicting bank performance using machine learning: a case of troubled banks in India Abstract: The significance of a bank's financial stability for achieving a thriving and robust economy cannot be overstated. This study develops a predictive model using machine learning (ML) to categorise banks into low- or high-performance. The non-performing assets (NPA) levels of the Indian banking sector, notably for the public sector banks (PSBs), have increased significantly since 2015. Hence, the model has been created using bank performance data of PSBs, specifically for the period 2015-2020. The authors first identified logical groups by using the unsupervised K-means clustering method; and, subsequently, deployed a supervised algorithm for prediction: the classification and regression tree (CART). The model has an overall prediction accuracy of 0.9375, a sensitivity of 0.8571 and a specificity of 0.9600. This study is unique since it uses only data from banks with high NPA levels to create a predictive model for bank performance. Journal: Int. J. of Pluralism and Economics Education Pages: 55-72 Issue: 1 Volume: 14 Year: 2023 Keywords: banks; bank performance; clustering method; decision tree method; financial performance; India; machine learning; non-performing loans; public sector banks; predictive modelling. File-URL: http://www.inderscience.com/link.php?id=133638 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijplur:v:14:y:2023:i:1:p:55-72 Template-Type: ReDIF-Article 1.0 Author-Name: Janice Peterson Author-X-Name-First: Janice Author-X-Name-Last: Peterson Title: Pluralism and teaching a 'women in the economy' course over time Abstract: In the USA, courses on 'women in the economy' (WIE) have provided an avenue for exploring the economic status of women and bringing a gender lens to the analysis and discussion of economic trends, outcomes, and public policies in the undergraduate economics curriculum. WIE courses are taught at universities and colleges with programs strongly rooted in neoclassical economics, as well as those that are more pluralistic, and consequently may reflect different approaches to both the study of economics and the economic status of women. While WIE courses are often viewed as 'filling the gender gaps' in traditional economics curricula, a pluralistic WIE course may also introduce new, alternative perspectives on traditional economic topics and analyses that are otherwise not discussed. This essay reflects on the experiences and lessons of teaching a WIE course over a long time span, encompassing significant policy debates and economic crises, in very different institutional settings, and filling different roles in the curriculum. The key lesson addressed in this paper is the value of taking a pluralistic approach, acknowledging the different ways in which pluralism can manifest to best address different circumstances. Journal: Int. J. of Pluralism and Economics Education Pages: 9-30 Issue: 1 Volume: 14 Year: 2023 Keywords: economics education; experiential learning; feminist economics; gender; heterodox economics; pluralism; women in the economy. File-URL: http://www.inderscience.com/link.php?id=133639 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijplur:v:14:y:2023:i:1:p:9-30 Template-Type: ReDIF-Article 1.0 Author-Name: Lukas Bäuerle Author-X-Name-First: Lukas Author-X-Name-Last: Bäuerle Author-Name: Silja Graupe Author-X-Name-First: Silja Author-X-Name-Last: Graupe Title: Reframing economic agency in times of uncertainty Abstract: The retrospective assessment of the unfolding COVID-19 pandemic has once again shown that humanity is often unable to deal effectively with existential issues until it is (almost) too late. This paper addresses and explains the shortcomings of mainstream economic thinking that contribute to this predicament, and proposes a reframed model of human capabilities. Its primary aim is to improve the scientific assessment of economic phenomena, therefore providing a methodology-oriented case study for the proposed model. In the context of a growing 21st century perma-crisis, such expanded visions of economic agency will prove crucial in various arenas of transformation. Journal: Int. J. of Pluralism and Economics Education Pages: 31-46 Issue: 1 Volume: 14 Year: 2023 Keywords: mainstream economics; economic agency; economic methodology; pluralism; COVID-19; sensemaking. File-URL: http://www.inderscience.com/link.php?id=133642 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijplur:v:14:y:2023:i:1:p:31-46