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Modern Finance and Risk Management is dedicated to our colleague, academic mentor, and adviser Professor Hermann Locarek-Junge. During his academic career, Hermann Locarek-Junge published several important contributions to the field of risk management and portfolio management and served as the chairman and board member of the German Finance Association (DGF) and the Data Science Society (Gesellschaft für Klassifikation).A short foreword by the mentors of Hermann Locarek-Junge and an introduction by the editors mark the beginning of the Festschrift. The first section on Modern Finance includes chapters on asset management, entrepreneurship, and behavioural finance. The second section on Mode...
Socially responsible investing (SRI) is an investment approach that combines investors’ financial as well as nonfinancial goals in the security selection process. Technically, investors can engage in SRI either by directly investing in companies that implement corporate social activities or by investing their money in SRI funds, which apply screening criteria to select securities. The screening process applied by the SRI funds has led to controversy among academics regarding whether the use of SRI screens in the security selection process influences the financial performance of the funds. The empirical study analyzes whether or not the screening process applied by such funds influences the...
This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.
This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".
The financial crisis has shown that a significant proportion of the assets held by large corporations are exposed to credit risk that must be managed. This doctoral thesis sets out to analyse the contextual and organisational framework within which these activities are set and the practices employed by professionals in the field. This analysis draws on a set of interview-based data from large corporations in Europe and Brazil, predominantly from the chemical, energy, trading, and general manufacturing industries. Due to their diverse natures, the subjects of customer and financial institution counterparty credit risk are treated separately, addressing for each the organisation of the function, data acquisition process, and IT setup recommendable in order to effectively drive risk management, including a review for the practitioner to analyse his or her processes. A final chapter with analyses regarding trade credit insurance, sovereign risk, and quantitative special items rounds off the text making it into a comprehensive treatise on credit risk management in an industrial corporation.
This volume features a selection of contributions presented at the 2019 Wroclaw Conference in Finance, covering a wide range of topics in finance and financial economics, e.g. financial markets; monetary policy; corporate, personal and public finance; and risk management and insurance. Reflecting the diversity and richness of research in the field, the papers discuss both fundamental and applied finance, and offer a detailed analysis of current financial-market problems, including specifics of the Polish and Central European markets. They also examine the results of advanced financial modeling. Accordingly, the proceedings offer a valuable resource for researchers at universities and policy institutions, as well as graduate students and practitioners in economics and finance at both private and government organizations.
The basic question of this book is what we can learn from empirical as well as theoretical analysis of financial systems, differing cross-sectional and changing structually over time, with respect to the issue of stability of financial systems. Part I of the book deals with stability issues in a globalizing financial world and addresses topics of convergence, domestic policy, financial bubbles, crises and international coordination. Part II is on banking systems. Country specific adoption and restructuring of (universal but also separation) banking systems are key problems for the industrialized economies, while catching-up is of major concern for the economies in transition. Feeble regional economies and subsidized banking is at the heart of the vivid dispute on public sector banking being taken up in Part III. The last Part is devoted to resource-oriented approaches in quantifiying financial development and risk of sovereign default.
Chuluunbaatar Enkhzaya examines the "inadequate" behaviour of banks in Mongolia by analysing the institutional framework of the banking system, especially in lending. She focuses on the genesis of informal institutions of lending and their interaction with formal institutions of lending. Herewith, informal institutions such as the attitude to risk were indirectly observed by diagnosing the "action-regulating" knowledge of bankers. In order to ensure an effective allocation of the scarce financial resources of Mongolia the author therefore suggests a change - as simultaneous as possible - of formal and informal rules.