This publication provides updates on the bond market in Indonesia since 2017. The ASEAN+3 Bond Market Guide series provides information on the investment climate, rules, laws, opportunities, and characteristics of bond markets in Asia and the Pacific. It aims to help bond market issuers, investors, and financial intermediaries understand the local context and encourage greater participation in the region's rapidly developing bond markets. This edition updates the ASEAN+3 Bond Market Guide 2017:...
The monetary system is the indispensable missing link in the debate of sustainability, and whether the current financial system can handle these evolved needs. To date, the UN Sustainable Development Goals (SDGs) primarily have been financed either through the private sector, through conventional public sector taxes and fees, or through philanthropic commitment. Assuming a need of 4 to 5 trillion dollars annually in the 10 to 15 years left to finance our future, these conventional sources of fin...
Artificial Intelligence and Credit Risk
by Rossella Locatelli, Giovanni Pepe, and Fabio Salis
This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During the last decade the increase in computational capacity, the consolidation of new methodologies to elaborate data and the availability of new information related to individuals and organizations, aided by the widespread usage of internet, set the st...
A step-by-step approach to the mathematical financial theory and quantitative methods needed to implement and apply state-of-the-art valuation techniques Written as an accessible and appealing introduction to financial derivatives, Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications provides the necessary techniques for teaching and learning complex valuation techniques. Filling the current gap in financial engineering literature, the book emphasizes an easy-to-u...
It is the aim of this book to train and educate financial experts, investment bankers, traders, financial advisors and natural scientists who are active in financial engineering. Financial engineering is a necessary skill in many sectors of financial industry. Knowledge of financial engineering improves career opportunities for financial experts and opens doors to new and highly interesting employment opportunities. The book comes with numerous Excel and VBA models and can be used as the basis f...
Banking 5.0 (Palgrave Studies in Financial Services Technology)
by Bernardo Nicoletti
Bill Gates’ quote, “Banking is necessary, but banks are not,” showcases the opportunity for financial services digital transformation. The next transition from industry 4.0 to 5.0 will impact all sectors, including banking. It will combine information technology and automation, based on artificial intelligence, person-robot collaboration, and sustainability. It is time to analyze this transformation in banking deeply, so that the sector can adequately change to the ‘New Normal’ and a wholly modi...
Bitcoin and Mobile Payments (Palgrave Studies in Financial Services Technology)
This book provides a critical analysis of The European Union’s regulatory framework for mobile payments and bitcoin. Chapters discuss the creation of the EU single market for e-payments and combine legal analysis with comparative case studies in their exploration of the regulatory challenges surrounding e-payments. The contributing authors analyse the key economic and legal issues of the development of bitcoin and mobile payments within the EU framework through a comparative lens. They cover top...
Interest Rate Derivatives Explained (Financial Engineering Explained)
by J. Kienitz
Aimed at practitioners who need to understand the current fixed income markets and learn the techniques necessary to master the fundamentals, this book provides a thorough but concise description of fixed income markets, looking at the business, products and structures and advanced modeling of interest rate instruments.
This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models that are subject of ongoing research, like e.g. Support Vector Machines, Neural Networks, or Fuzzy Inference Systems. The book also illustrates financial and commodity markets and analyzes the principle...
Multiscale Financial Data Analytics And Machine Learning (Modern Trends In Financial Engineering, #5)
by Tim Siu-tang Leung and Theodore Zhao
Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for m...
Recent Trends In Financial Engineering: Towards More Sustainable Social Impact
This book is a good collection of state-of-the-art approaches to financial engineering. It will be especially useful to new researchers and practitioners working in this field and will help them to quickly grasp the current state of financial engineering. The book equips the readers with comprehensive understanding of technological issues and financial innovations in environmental and social matters. It will allow the readers to use new econometric and operational methods to examine certain inno...
Tokenization in Real Estate (SpringerBriefs in Finance)
by Elena Schmid, Michael Truebestein, and Matthias Daniel Aepli
Traditionally, real estate has been burdened by challenges such as illiquidity, limited accessibility, opacity, complex transactions, high costs, and substantial capital requirements. However, tokenization emerges as a potential solution to many of these issues. In this book, the authors thoroughly investigate the innovative concept of tokenization in the real estate domain. Tokenization involves digitizing real estate assets and ownership, complemented by fractionalization, facilitated through...
Gerade die aktuelle Finanzmarktkrise, urs chlich ausgel st durch laxe Kreditvergaberichtlinien in den Vereinigten Staaten, l sst erkennen, dass Kreditderivate als Absicherungsinstrumente f r Kreditinstitute, Versicherer, Kapitalanlagegesellschaften und andere professionelle Investoren nicht mehr wegzudenken sind. Das hohe Handelsvolumen, der inzwischen hohe Standardisierungsgrad der Kontrakte und die verl ssliche Liquidit t unterstreicht die Bedeutung dieser Klasse von Finanzinstrumenten. Kredit...
TOOLS TO DEVELOP A LIFELONG INCOME, FREE OF FEAR IN HIS FORTY YEARS AS A FINANCIAL AND RETIREMENT ADVISOR, Bill Riley has seen it all. He has seen his industry neglect the very people it purports to serve. Riley has a better way. And in Forty Years of Investor Mistakes he shares what you need to know now – before it’s too late. Riley wants to spare you the mistakes that he often sees among people preparing for retirement – or who already are there. Those mistakes can turn dreams into drudgery, a...
Investing in Financial Research (AREA Method Publications)
by Cheryl Strauss Einhorn
Finalist in the Business/Personal Finance category of the 2019 International Book Awards Every day, people around the world make financial decisions. They choose to invest in a stock, sell their holdings in a mutual fund or buy a condominium. These decisions are complex and financially tricky—even for financial professionals. But the literature available on financial research is dated and narrowly focused without any real practical application. Until now there's been a gap in the literature: a b...
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key Features Follow practical Python recipes to acquire, visualize, and store market data for market research Design, backtest, and evaluate the performance of trading strategies using professional techniques Deploy trading strategies built in Python to a live trading environment with API connectivity Purchase of the print...
Finance is a core subject for business students that is known to be hard and that many find hard to understand. The field has been dominated by long, complicated introductory texts, most of which come from the United States. Many professors find these texts too detailed and hard to use. This carefully written and researched text will fill this gap by giving a short and modular introduction to the subject of financial management. The easy-to-use features and design will be a big draw for many col...
Finance Analytics in Business (Emerald Studies in Finance, Insurance, And Risk Management)
Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance. The chapters discuss the Time Series Analysis with ARIMA Model, ARIMA Modelling in R, Credit Risk Modelling, GARCH Modelling, GARCH Models Best for Asset Returns, Software for conducting event studies...