Illustrating Finance Policy with Mathematica

Students in various disciplines-from law and government to business and health policy-need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have li...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Georgakopoulos, Nicholas L. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Quantitative Perspectives on Behavioral Economics and Finance,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Illustrating Finance Policy with Mathematica  |h [electronic resource] /  |c by Nicholas L. Georgakopoulos. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Palgrave Macmillan,  |c 2018. 
300 |a XXXV, 226 p. 55 illus.  |b online resource. 
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490 1 |a Quantitative Perspectives on Behavioral Economics and Finance,  |x 2662-3986 
505 0 |a 1. The Non-Graphical Foundation: Coase and the Law's Irrelevance -- 2. Introduction to Mathematica: Hello World in Text and Graphics -- 3. The Mathematical Frontier: Trigonometry, Derivatives, Optima, Differential Equations -- 4. Money and Time -- 5. The Capital Asset Pricing Model -- 6. Options -- 7. Illustrating Statistical Data -- 8. Probability Theory: Imperfect Observations -- 9. Financial Statements and Mergers -- 10. Aversion to Risk -- 11. Financial Crisis Contagion. 
520 |a Students in various disciplines-from law and government to business and health policy-need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory. 
650 0 |a Economic theory. 
650 0 |a Economics, Mathematical . 
650 0 |a Public finance. 
650 0 |a Law and economics. 
650 0 |a Capital market. 
650 0 |a Commercial law. 
650 1 4 |a Economic Theory/Quantitative Economics/Mathematical Methods.  |0 http://scigraph.springernature.com/things/product-market-codes/W29000 
650 2 4 |a Quantitative Finance.  |0 http://scigraph.springernature.com/things/product-market-codes/M13062 
650 2 4 |a Financial Law/Fiscal Law.  |0 http://scigraph.springernature.com/things/product-market-codes/R17044 
650 2 4 |a Law and Economics.  |0 http://scigraph.springernature.com/things/product-market-codes/W39000 
650 2 4 |a Capital Markets.  |0 http://scigraph.springernature.com/things/product-market-codes/616000 
650 2 4 |a Commercial Law.  |0 http://scigraph.springernature.com/things/product-market-codes/R12026 
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830 0 |a Quantitative Perspectives on Behavioral Economics and Finance,  |x 2662-3986 
856 4 0 |u https://doi.org/10.1007/978-3-319-95372-4  |z Full Text via HEAL-Link 
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