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|a 9783319634654
|9 978-3-319-63465-4
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|a 10.1007/978-3-319-63465-4
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|a 330.01
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|a Chen, James Ming.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Econophysics and Capital Asset Pricing
|h [electronic resource] :
|b Splitting the Atom of Systematic Risk /
|c by James Ming Chen.
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| 250 |
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|a 1st ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Palgrave Macmillan,
|c 2017.
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| 300 |
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|a XVI, 287 p.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
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|a Quantitative Perspectives on Behavioral Economics and Finance,
|x 2662-3986
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| 505 |
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|a 1. Baryonic Beta Dynamics: The Econophysics of Systematic Risk -- 2. Double- and Single-Sided Risk Measures -- 3. Relative Volatility Versus Correlation Tightening -- 4. Asymmetrical Volatility and Spillover Effects -- 5. The Low-Volatility Anomaly -- 6. Correlation Tightening -- 7. The Intertemporal Capital Asset Pricing Model -- 8. The Equity Premium Puzzle -- 9. Beta’s Cash-Flow and Discount-Rate Components -- 10. Risk and Uncertainty -- 11. Short-Term Price Continuation Anomalies -- 12. Systematic Risk in the Macrocosmos -- 13. The Baryonic Ladder: The Firm, the Market, and the Economy.
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|a This book rehabilitates beta as a definition of systemic risk by using particle physics to evaluate discrete components of financial risk. Much of the frustration with beta stems from the failure to disaggregate its discrete components; conventional beta is often treated as if it were "atomic" in the original Greek sense: uncut and indivisible. By analogy to the Standard Model of particle physics theory's three generations of matter and the three-way interaction of quarks, Chen divides beta as the fundamental unit of systemic financial risk into three matching pairs of "baryonic" components. The resulting econophysics of beta explains no fewer than three of the most significant anomalies and puzzles in mathematical finance. Moreover, the model's three-way analysis of systemic risk connects the mechanics of mathematical finance with phenomena usually attributed to behavioral influences on capital markets. Adding consideration of volatility and correlation, and of the distinct cash flow and discount rate components of systematic risk, harmonizes mathematical finance with labor markets, human capital, and macroeconomics.
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| 650 |
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|a Behavioral economics.
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| 650 |
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|a Economic theory.
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|a Behavioral Finance.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/623000
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| 650 |
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|a Behavioral/Experimental Economics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/W54000
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| 650 |
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|a Economic Theory/Quantitative Economics/Mathematical Methods.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/W29000
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319634647
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| 776 |
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|i Printed edition:
|z 9783319634661
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| 776 |
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|i Printed edition:
|z 9783319875644
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| 830 |
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|a Quantitative Perspectives on Behavioral Economics and Finance,
|x 2662-3986
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| 856 |
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|u https://doi.org/10.1007/978-3-319-63465-4
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|a ZDB-2-ECF
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|a ZDB-2-SXEF
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| 950 |
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|a Economics and Finance (SpringerNature-41170)
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| 950 |
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|a Economics and Finance (R0) (SpringerNature-43720)
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