Forecasting Initial Margin Requirements - A Model Evaluation

Forecasting Initial Margin Requirements - A Model Evaluation PDF Author: Peter Caspers
Publisher:
ISBN:
Category :
Languages : en
Pages : 36

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Book Description
The introduction of mandatory margining for non-cleared portfolios has major implications for the pricing and risk measurement of OTC derivatives. In particular, a model for estimating future initial margin requirements is necessary to enable the calculation of pricing adjustments (MVA), net counterparty credit exposures and credit capital (RWA). Existing literature on the topic suggests a model which makes use of regression techniques, but little detail is available on the predictive quality of these models within a Monte Carlo simulation framework. We review these regression-based initial margin models in detail and compare their output against the actual margin requirements measured by the ISDA SIMM methodology. We observe that the models generally perform well for single trades but show some degradation for single option products and larger diversified portfolios. We investigate potential extensions and improvements to the model, along with examining some additional “conservatism” features that may have application in the context of credit exposure measurement. The Initial Margin modelling approaches discussed here are similarly applicable to centrally cleared or exchange-traded portfolios.

Forecasting Initial Margin Requirements - A Model Evaluation

Forecasting Initial Margin Requirements - A Model Evaluation PDF Author: Peter Caspers
Publisher:
ISBN:
Category :
Languages : en
Pages : 36

Get Book Here

Book Description
The introduction of mandatory margining for non-cleared portfolios has major implications for the pricing and risk measurement of OTC derivatives. In particular, a model for estimating future initial margin requirements is necessary to enable the calculation of pricing adjustments (MVA), net counterparty credit exposures and credit capital (RWA). Existing literature on the topic suggests a model which makes use of regression techniques, but little detail is available on the predictive quality of these models within a Monte Carlo simulation framework. We review these regression-based initial margin models in detail and compare their output against the actual margin requirements measured by the ISDA SIMM methodology. We observe that the models generally perform well for single trades but show some degradation for single option products and larger diversified portfolios. We investigate potential extensions and improvements to the model, along with examining some additional “conservatism” features that may have application in the context of credit exposure measurement. The Initial Margin modelling approaches discussed here are similarly applicable to centrally cleared or exchange-traded portfolios.

The xVA Challenge

The xVA Challenge PDF Author: Jon Gregory
Publisher: John Wiley & Sons
ISBN: 1119509009
Category : Business & Economics
Languages : en
Pages : 863

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Book Description
A thoroughly updated and expanded edition of the xVA challenge The period since the global financial crisis has seen a major re-appraisal of derivatives valuation, generally expressed in the form of valuation adjustments (‘xVAs’). The quantification of xVA is now seen as fundamental to derivatives pricing and valuation. The xVA topic has been complicated and further broadened by accounting standards and regulation. All users of derivatives need to have a good understanding of the implications of xVA. The pricing and valuation of the different xVA terms has become a much studied topic and many aspects are in constant debate both in industry and academia. Discussing counterparty credit risk in detail, including the many risk mitigants, and how this leads to the different xVA terms Explains why banks have undertaken a dramatic reappraisal of the assumptions they make when pricing, valuing and managing derivatives Covers what the industry generally means by xVA and how it is used by banks, financial institutions and end-users of derivatives Explains all of the underlying regulatory capital (e.g. SA-CCR, SA-CVA) and liquidity requirements (NSFR and LCR) and their impact on xVA Underscores why banks have realised the significant impact that funding costs, collateral effects and capital charges have on valuation Explains how the evolution of accounting standards to cover CVA, DVA, FVA and potentially other valuation adjustments Explains all of the valuation adjustments – CVA, DVA, FVA, ColVA, MVA and KVA – in detail and how they fit together Covers quantification of xVA terms by discussing modelling and implementation aspects. Taking into account the nature of the underlying market dynamics and new regulatory environment, this book brings readers up to speed on the latest developments on the topic.

From Security to Community Detection in Social Networking Platforms

From Security to Community Detection in Social Networking Platforms PDF Author: Panagiotis Karampelas
Publisher: Springer
ISBN: 3030112861
Category : Computers
Languages : en
Pages : 242

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Book Description
This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

Valuation of Initial Margin and Model Risk

Valuation of Initial Margin and Model Risk PDF Author:
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 228

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Book Description
Binary logistic regression -- Bootstrap -- Complementary log-log -- Credit risk -- Inappropriate statistical distribution -- Initial margin -- Model misspecification -- Parameter estimation -- Probability of default.

AI and Financial Technology

AI and Financial Technology PDF Author: Paolo Giudici
Publisher: Frontiers Media SA
ISBN: 2889633411
Category :
Languages : en
Pages : 92

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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Evaluation of the Forecasting Capability of Selected Valuation Models for a Long-Term Equity Investment

Evaluation of the Forecasting Capability of Selected Valuation Models for a Long-Term Equity Investment PDF Author: Susanne Hakuba
Publisher: ibidem-Verlag / ibidem Press
ISBN: 3838256816
Category : Business & Economics
Languages : en
Pages : 121

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Book Description
In the 1990s, the global stock market experienced the birth of the new technology sector and an extraordinary increase in values. However, the surge of stock values came to an end in 2000 when stock markets dropped significantly. Especially the technology sector suffered greatly, and a high amount of wealth was erased by sharply falling markets. Could it have been possible to predict stock prices in such a market environment and, therefore, enable the equity investor to invest in undervalued stocks, if there were any? The key question for an investor in this context is whether an investment is fairly priced at the time of investment. This is of importance if one believes that stock prices can be overvalued or undervalued at times but adjust to their true values in the long-term. To form an opinion on whether an investment is fairly priced or not, i.e. overvalued or undervalued, an investor needs a valuation model. Such a model provides a theoretically correct value which can be used as a benchmark for the decision. In her study, Sussane Hakuba examines the forecasting capability of two selected valuation models for long-term equity investments over a nine-quarter time horizon (from the 4th quarter of 1999 to the 4th quarter of 2000): a) the two-stage free cash flow to equity (FCFE) model andb) the dividend discount model (DDM) as applied by JPMorgan Fleming. Susanne Hakuba looks at the application of the two equity valuation models analyzed including theory on the models, their inputs, and assumptions made. In addition, she provides discussion of the stock valuations performed and comes to conclusions and recommendations for future valuations applying the models examined.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 892

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Book Description


Modern Portfolio Theory and Investment Analysis

Modern Portfolio Theory and Investment Analysis PDF Author: Edwin J. Elton
Publisher: John Wiley & Sons
ISBN: 0470388323
Category : Business & Economics
Languages : en
Pages : 748

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Book Description
An update of a classic book in the field, Modern Portfolio Theory examines the characteristics and analysis of individual securities as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. Readers will also discover the strengths and weaknesses of modern portfolio theory as well as the latest breakthroughs.

Reliability and Risk Evaluation of Wind Integrated Power Systems

Reliability and Risk Evaluation of Wind Integrated Power Systems PDF Author: Roy Billinton
Publisher: Springer Science & Business Media
ISBN: 8132209877
Category : Business & Economics
Languages : en
Pages : 138

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Book Description
The world is witnessing a rapid growth in wind and other renewable based electricity generation due to environmental concerns associated with electricity generation from the conventional sources. Wind power behaves quite differently than conventional electric power generating units due to its intermittent and diffuse nature. System planners and operators face the variability and uncertainty of wind power availability, and therefore, encounter considerable challenges in making decisions to maintain the adequacy and security of wind integrated power systems. This volume intends to bring out the original research work of researchers from academia and industry in understanding, quantifying and managing the risks associated with the uncertainty in wind variability in order to plan and operate a modern power system integrated with a significant proportion of wind power generation with an acceptable level of reliability. Accurate modeling of wind power variability and proper incorporation of the models in reliability and risk evaluation is very important for the planning and operation of electric power systems, and will play a crucial role in defining the requirement of various types of resources and services, such as storage and ancillary services in power systems.

Philosophico-Methodological Analysis of Prediction and its Role in Economics

Philosophico-Methodological Analysis of Prediction and its Role in Economics PDF Author: Wenceslao J. Gonzalez
Publisher: Springer
ISBN: 3319088858
Category : Philosophy
Languages : en
Pages : 375

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Book Description
This book develops a philosophico-methodological analysis of prediction and its role in economics. Prediction plays a key role in economics in various ways. It can be seen as a basic science, as an applied science and in the application of this science. First, it is used by economic theory in order to test the available knowledge. In this regard, prediction has been presented as the scientific test for economics as a science. Second, prediction provides a content regarding the possible future that can be used for prescription in applied economics. Thus, it can be used as a guide for economic policy, i.e., as knowledge concerning the future to be employed for the resolution of specific problems. Third, prediction also has a role in the application of this science in the public arena. This is through the decision-making of the agents — individuals or organizations — in quite different settings, both in the realm of microeconomics and macroeconomics. Within this context, the research is organized in five parts, which discuss relevant aspects of the role of prediction in economics: I) The problem of prediction as a test for a science; II) The general orientation in methodology of science and the problem of prediction as a scientific test; III) The methodological framework of social sciences and economics: Incidence for prediction as a test; IV) Epistemology and methodology of economic prediction: Rationality and empirical approaches and V) Methodological aspects of economic prediction: From description to prescription. Thus, the book is of interest for philosophers and economists as well as policy-makers seeking to ascertain the roots of their performance. The style used lends itself to a wide audience.