9780691141213 - Mathematical Techniques in Finance: Tools for Incomplete Markets di Cerny, Ales (26 risultati)

Condizione: New.

Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780691141213.

Condizione: As New. Unread book in perfect condition.

Condizione: new.

Condizione: New.

Condizione: New. 2009. Second. Paperback. Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrates detailed examples and MATLAB codes. Num Pages: 416 pages, Illustrations. BIC Classification: KF; KJQ; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 25. Weight in Grams: 622. . . . . .

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

Paperback. Condizione: New. Second Edition. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. Second Edition. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter.

Paperback. Condizione: new. Paperback. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrates detailed examples and MATLAB codes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: New. pp. 416.

Paperback. Condizione: New.

Condizione: New. 2009. Second. Paperback. Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrates detailed examples and MATLAB codes. Num Pages: 416 pages, Illustrations. BIC Classification: KF; KJQ; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 25. Weight in Grams: 622. . . . . . Books ship from the US and Ireland.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. pp. 416 2nd Edition.

Paperback. Condizione: new. Paperback. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrates detailed examples and MATLAB codes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: New. Second Edition. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter.

Paperback. Condizione: Brand New. 2nd edition. 416 pages. 9.50x6.25x1.00 inches. In Stock.

Condizione: New. Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrate.

Paperback. Condizione: New. Second Edition. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter.

Paperback. Condizione: new. Paperback. Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cerny mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references.Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated. * A standard textbook for graduate finance courses * Introduction to asset pricing, portfolio selection, risk measurement, and investment evaluation * Detailed examples and MATLAB codes integrated throughout the text * Exercises and summaries of main points conclude each chapter Offers an introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. This title includes research in the area of incomplete markets and unhedgeable risks, and a chapter on finite difference methods. It integrates detailed examples and MATLAB codes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. Neuware - 'Ales Cerný's new edition of Mathematical Techniques in Finance is an excellent master's-level treatment of mathematical methods used in financial asset pricing. By updating the original edition with methods used in recent research, Cerný has once again given us an up-to-date first-class textbook treatment of the subject.'--Darrell Duffie, Stanford University.

Paperback. Condizione: Brand New. 2nd edition. 416 pages. 9.50x6.25x1.00 inches. In Stock. This item is printed on demand.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.