"Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the analytics of these issues from A to Z, and lays out a comprehensive strategy for risk management measurement, objectives, and hedging techniques that apply to all types of institutions. Written by experienced risk managers, the book covers everything from the basics of present value, forward rates, and interest rate compounding to the wide variety of alternative term structure models.Revised and updated with lessons from the 2007-2010 financial crisis, Advanced Financial Risk Management outlines a framework for fully integrated risk management. Credit risk, market risk, asset and liability management, and performance measurement have historically been thought of as separate disciplines, but recent developments in financial theory and computer science now allow these views of risk to be analyzed on a more integrated basis. The book presents a performance measurement approach that goes far beyond traditional capital allocation techniques to measure risk-adjusted shareholder value creation, and supplements this strategic view of integrated risk with step-by-step tools and techniques for constructing a risk management system that achieves these objectives."
"Studi ini merupakan meta-analisis yang bertujuan untuk memetakan penelitian mengenai Enterprise Risk Management periode waktu tahun 1992 hingga 2022. Sampel sebanyak 638 artikel jurnal diambil dari database SCOPUS dan dilakukan analisis bibliometric dengan menggunakan bahasa pemrograman R dan package bibliometrix. Kemudian Analisis konten dilakukan secara manual terhadap 10 studi yang paling banyak mendapatkan sitasi sehingga penulis menemukan bahwa terdapat 4 sub-topik yang menjadi bahasan utama dalam topik ERM. Pertama, sub-topik yang membahas mengenai kerangka ERM yang dibahas dalam 4 artikel jurnal. Kedua, sub-topik determinan implementasi ERM dibahas dalam 1 artikel jurnal, tingkat kematangan ERM yang dibahas dalam 2 jurnal, dan efektivitas implementasi ERM yang dibahas dalam 2 jurnal. Secara garis besar, studi dengan topik ERM mempunyai kecenderungan yaitu: 1) merekomendasikan penekanan terhadap risiko secara kualitatif. 2) keberadaan sumber daya manusia professional dalam bidang manajemen risiko memiliki dampak positif terhadap penerapan ERM.This study is a meta-analysis that aims to map research on Enterprise Risk Management for the period 1992 to 2022. A sample of 638 journal articles was taken from the SCOPUS database and bibliometric analysis was carried out using the R programming language and the bibliometric package. Then content analysis was carried out manually on the 10 studies that received the most citations so that the authors found that there were 4 subtopics which became the main discussion on the ERM topic. First, the sub-topics that discuss the ERM framework are discussed in 4 journal articles. Second, the sub-topic of determinants of ERM implementation is discussed in 1 journal article, the maturity level of ERM is discussed in 2 journals, and the effectiveness of ERM implementation is discussed in 2 journals. In general, studies on the topic of ERM have tendencies, namely: 1) to recommend a qualitative emphasis on risk. 2) the existence of professional human resources in the field of risk management has a positive impact on the implementation of ERM."
Depok: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2023
"ABSTRACTBig Data Analytics" will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise."
"Big data analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise."
