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Author: Jacopo Maria Ricci
Publisher: Roma TrE-Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 30
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Book Description
L'errore di stima è un tema cruciale che riguarda la selezione di portafoglio. La maggior parte degli studi concerne le misure di rischio più famose, quali la varianza, il Mean Absolute Deviation (MAD), e il Conditional Value-at-Risk (CVaR). D'altro canto, al momento, non sembrano esserci studi riguardanti la stabilità di misure di rischio entropiche quali l'Entropic Value-at-Risk (EVaR) e il Relativistic Value-at-Risk (RLVaR). Utilizzando dati sia simulati sia storici, abbiamo trovato che, mentre l'EVaR e il CVaR manifestano un profilo di stabilità simile, il RLVaR è molto più sensibile al rumore. DOI: 10.13134/979-12-5977-330-2
Author: Jacopo Maria Ricci
Publisher: Roma TrE-Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 30
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Book Description
L'errore di stima è un tema cruciale che riguarda la selezione di portafoglio. La maggior parte degli studi concerne le misure di rischio più famose, quali la varianza, il Mean Absolute Deviation (MAD), e il Conditional Value-at-Risk (CVaR). D'altro canto, al momento, non sembrano esserci studi riguardanti la stabilità di misure di rischio entropiche quali l'Entropic Value-at-Risk (EVaR) e il Relativistic Value-at-Risk (RLVaR). Utilizzando dati sia simulati sia storici, abbiamo trovato che, mentre l'EVaR e il CVaR manifestano un profilo di stabilità simile, il RLVaR è molto più sensibile al rumore. DOI: 10.13134/979-12-5977-330-2
Author: Alessandra Congedo
Publisher: Roma TrE-Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 34
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Book Description
Uno dei principi fondamentali dei modelli di selezione del portafoglio è la minimizzazione del rischio attraverso la diversificazione degli investimenti. Tuttavia, i benefici della diversificazione si riducono in presenza di un'elevata correlazione tra gli asset. È noto che la diversificazione attraverso l'uso di portafogli più ampi non è il modo migliore per ottenere un miglioramento della performance fuori campione. Inoltre, l'inclusione di un numero elevato di posizioni nel portafoglio aumenta i costi di gestione e di transazione. Mentre i modelli classici di selezione del portafoglio si concentrano sulla minimizzazione del rischio e sulla massimizzazione del rendimento, lo scopo di questo lavoro è quello di includere un terzo obiettivo: la norma-1. Ciò consente di selezionare portafogli sparsi, cioè con un numero limitato di attività, che sono più facili da gestire e consentono di ottenere buoni risultati in termini di rischio-rendimento. La nostra analisi empirica si basa su un dataset di riferimento disponibile pubblicamente e spesso utilizzato in letteratura. DOI: 10.13134/979-12-5977-332-6
Author: Karsten Keller
Publisher: MDPI
ISBN: 3039280325
Category : Science
Languages : en
Pages : 260
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Book Description
Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.
Author: Romney Beecher Duffey
Publisher: John Wiley & Sons
ISBN: 047071445X
Category : Computers
Languages : en
Pages : 568
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Book Description
The human element is the principle cause of incidents and accidents in all technology industries; hence it is evident that an understanding of the interaction between humans and technology is crucial to the effective management of risk. Despite this, no tested model that explicitly and quantitatively includes the human element in risk prediction is currently available. Managing Risk: the Human Element combines descriptive and explanatory text with theoretical and mathematical analysis, offering important new concepts that can be used to improve the management of risk, trend analysis and prediction, and hence affect the accident rate in technological industries. It uses examples of major accidents to identify common causal factors, or “echoes”, and argues that the use of specific experience parameters for each particular industry is vital to achieving a minimum error rate as defined by mathematical prediction. New ideas for the perception, calculation and prediction of risk are introduced, and safety management is covered in depth, including for rare events and “unknown” outcomes Discusses applications to multiple industries including nuclear, aviation, medical, shipping, chemical, industrial, railway, offshore oil and gas; Shows consistency between learning for large systems and technologies with the psychological models of learning from error correction at the personal level; Offers the expertise of key leading industry figures involved in safety work in the civil aviation and nuclear engineering industries; Incorporates numerous fascinating case studies of key technological accidents. Managing Risk: the Human Element is an essential read for professional safety experts, human reliability experts and engineers in all technological industries, as well as risk analysts, corporate managers and statistical analysts. It is also of interest to professors, researchers and postgraduate students of reliability and safety engineering, and to experts in human performance. “...congratulations on what appears to be, at a high level of review, a significant contribution to the literature...I have found much to be admired in (your) research” Mr. Joseph Fragola – Vice President of Valador Inc. “The book is not only technically informative, but also attractive to all concerned readers and easy to be comprehended at various level of educational background. It is truly an excellent book ever written for the safety risk managers and analysis professionals in the engineering community, especially in the high reliability organizations...” Dr Feng Hsu, Head of Risk Assessment and Management, NASA Goddard Space Flight Center “I admire your courage in confronting your theoretical ideas with such diverse, ecologically valid data, and your success in capturing a major trend in them....I should add that I find all this quite inspiring . ...The idea that you need to find the right measure of accumulated experience and not just routinely used calendar time makes so much sense that it comes as a shock to realize that this is a new idea”, Professor Stellan Ohlsson, Professor of Psychology, University of Illinois at Chicago
Author: Samrat Chatterjee
Publisher: John Wiley & Sons
ISBN: 1119287464
Category : Political Science
Languages : en
Pages : 528
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Book Description
Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision support Compiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience. Highlights how risk analysis helps in the decision-making process for homeland security policy Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS) Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy making Applied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.
Author: Xue Jun Zhou
Publisher: Trans Tech Publications Ltd
ISBN: 3038135488
Category : Technology & Engineering
Languages : en
Pages : 3529
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Book Description
This compilation of peer-reviewed papers covers the subjects of geotechnical engineering, bridge engineering, geological engineering, seismic engineering, tunnel, subway and underground facilities, hydraulic engineering, coastal engineering, surveying engineering, water supply and drainage engineering, heating, gas supply, ventilation and air conditioning works, disaster prevention and mitigation, environmentally-friendly construction and development and cartography and geographic information systems. The work will be of value to anyone working in these fields.
Author: Norman Fenton
Publisher: CRC Press
ISBN: 1351978977
Category : Mathematics
Languages : en
Pages : 661
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Book Description
Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.
Author: Ali Mohammad-Djafari
Publisher: Springer Science & Business Media
ISBN: 940172217X
Category : Computers
Languages : en
Pages : 431
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Book Description
The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.
Author: United States. National Bureau of Standards
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 360
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Book Description
Author: National Institute of Standards and Technology (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 318
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Book Description
