Lindquist Brent (79 results)

Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

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Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

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Spiral bound. Condition: Very Good. First Edition. Very Good spiral bound paperback about 10x10 inches. Some general reading wear. 107 pages, unmarked; ECR OV25; 4to 11" - 13" tall; 107 pages.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condition: New. 1st. Cryptocurrencies have transformed finance by opening new avenues for investment and innovation, while exposing portfolios to extreme volatility, fat tails, liquidity shocks, and shifting regulation. Risk Management for Cryptocurrency Portfolios provides a rigorous, practice-oriented toolkit for this landscape. The book blends postmodern portfolio theory, heavy-tailed statistics, and empirically tested optimization methods into a coherent framework tailored to digital assets.Starting from the data, the authors assemble a consistent set of 40 major tokens and examine hourly performance, stylized facts, and benchmarks. They study stationarity, the non-normal nature of returns, and tail risk using Hill estimators and generalized Pareto modeling and quantify distances between return series to guide diversification. The portfolio core begins with mean-variance analysis, the capital market line, and coherent risk measures. Building on this foundation, the book develops mean-CVaR optimization and equivalent formulations, with MATLAB implementations and step-by-step case studies.Strategy chapters compare long-only and long-short constructions, including Jacobs et al. and Lo-Patel approaches, momentum variants, and portfolios under turnover constraints. Performance is evaluated with maximum drawdown and widely used ratios such as Sharpe, Sortino-Satchell, and the Rachev ratio.The dynamic optimization introduces ARMA(1,1)-GARCH(1,1) models with Student's t-innovations, multivariate t-distributions and t-copulas, and the simulation of return scenarios. Robust optimization addresses model misspecification by treating observed return distributions as uncertain; readers learn box and ellipsoidal uncertainty sets, Kantorovich distances between discrete distributions, and robust CVaR portfolios on historical data. Validation is integral. A backtesting suite consisting of value-at-risk tests, including binomial and traffic-light procedures, plus Kupiec, Christoffersen, and Haas tests, assesses model quality and contrasts historical, dynamic, and robust allocations. Written for practitioners, analysts, researchers, and graduate students, the text is selfcontained and comprehensive. Clear exposition, empirical examples, and ready to run MATLAB code make advanced methods usable in day-to-day portfolio construction. Risk Management for Cryptocurrency Portfolios equips readers with insight and tested techniques needed to build, stress-test and refine crypto portfolios with confidence. …

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Hardback. Condition: New. 1st. Cryptocurrencies have transformed finance by opening new avenues for investment and innovation, while exposing portfolios to extreme volatility, fat tails, liquidity shocks, and shifting regulation. Risk Management for Cryptocurrency Portfolios provides a rigorous, practice-oriented toolkit for this landscape. The book blends postmodern portfolio theory, heavy-tailed statistics, and empirically tested optimization methods into a coherent framework tailored to digital assets.Starting from the data, the authors assemble a consistent set of 40 major tokens and examine hourly performance, stylized facts, and benchmarks. They study stationarity, the non-normal nature of returns, and tail risk using Hill estimators and generalized Pareto modeling and quantify distances between return series to guide diversification. The portfolio core begins with mean-variance analysis, the capital market line, and coherent risk measures. Building on this foundation, the book develops mean-CVaR optimization and equivalent formulations, with MATLAB implementations and step-by-step case studies.Strategy chapters compare long-only and long-short constructions, including Jacobs et al. and Lo-Patel approaches, momentum variants, and portfolios under turnover constraints. Performance is evaluated with maximum drawdown and widely used ratios such as Sharpe, Sortino-Satchell, and the Rachev ratio.The dynamic optimization introduces ARMA(1,1)-GARCH(1,1) models with Student's t-innovations, multivariate t-distributions and t-copulas, and the simulation of return scenarios. Robust optimization addresses model misspecification by treating observed return distributions as uncertain; readers learn box and ellipsoidal uncertainty sets, Kantorovich distances between discrete distributions, and robust CVaR portfolios on historical data. Validation is integral. A backtesting suite consisting of value-at-risk tests, including binomial and traffic-light procedures, plus Kupiec, Christoffersen, and Haas tests, assesses model quality and contrasts historical, dynamic, and robust allocations. Written for practitioners, analysts, researchers, and graduate students, the text is selfcontained and comprehensive. Clear exposition, empirical examples, and ready to run MATLAB code make advanced methods usable in day-to-day portfolio construction. Risk Management for Cryptocurrency Portfolios equips readers with insight and tested techniques needed to build, stress-test and refine crypto portfolios with confidence. …

Hardcover. Condition: Brand New. 170 pages. 9.45x6.70x9.45 inches. In Stock.

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Paperback. Condition: New. Print on Demand. This book presents the latest advances in front tracking, a method of simulating complex flows such as those found in oil reservoirs. Historically, computer simulations of oil reservoirs have struggled with challenges in resolution (level of detail) and accuracy due to the complex physics involved in fluid flow through porous media, especially when different fluids like oil and water interact in intricate ways. The author, an expert in the field of computational fluid dynamics, provides a comprehensive overview of using front tracking to simulate these flows, beginning with fundamental concepts and extending to advanced topics like wave interactions and algorithm design. With front tracking, scientists can capture intricate details such as unstable interfaces and flow instabilities that significantly impact oil recovery. This approach provides a substantial improvement in accuracy over traditional numerical methods, enabling more reliable and predictive reservoir simulations. The concluding chapter highlights the potential applications of front tracking beyond oil reservoirs, making this book a valuable resource for researchers in computational fluid dynamics, hydrology, and other areas involving complex multi-phase flow phenomena. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…

Paperback. Condition: New. Print on Demand. This book covers the foundational knowledge of piecewise solutions to two-dimensional Riemann problems. These are linear differential equations which form from a jump in value within a continuous function, specifically equations that contain only one inflection point. The author begins by explaining the reduction of generalized Riemann problems to one-dimensional Riemann problems and the conditions under which solutions to such equations are piecewise smooth. The bulk of the book focuses on the identification of general two-dimensional non-linear waves as they relate to piecewise smooth solutions to the two-dimensional Riemann problem for the case where the scalar input functions f and g have only one inflection point and differ by a multiplicative constant. The author classifies these waves and discusses the entropy condition as it applies to the jump points and irregular points that arise. This book then goes on to demonstrate a construction method for generating entropy-obeying solutions from the identified non-linear waves. The solution for a function with no inflection points is presented, along with an example of a function with a single inflection point. The book concludes with an application of these two-dimensional Riemann problems to the study of two-phase flow in porous media, specifically the interaction of water and oil banks in oil reservoirs. The author explains how the dynamics of these interactions can be approximated by solving the Riemann problem for the governing equations of incompressible two-phase flow. This book presents a rigorous and in-depth exploration of two-dimensional Riemann problems and their solutions, making it an essential resource for researchers and professionals working in applied mathematics, fluid dynamics, and related fields. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…