IDEAS home Printed from https://ideas.repec.org/p/cde/cdewps/252.html
   My bibliography  Save this paper

How Risky Is A Random Process?

Author

Listed:
  • Sudhir A. Shah

    (Centre for Development Economics, Delhi School of Economics, University of Delhi, India)

Abstract

The riskiness of random processes is compared by (a) employing a decision-theoretic equivalence between processes and lotteries on path- spaces to identify the riskiness of the former with that of the latter, and (b) using the theory of comparative riskiness of lotteries over vector spaces to compare the riskiness of lotteries on a given path-space. We derive the equivalence used in step (a) and contribute a new criterion to the theory applied in step (b). The new criterion, involving a gener- alized form of second order stochastic dominance, is shown to be valid by establishing its equivalence to the standard decision-theoretic crite- rion. We demonstrate its tractability via diverse economic applications featuring risk embodied in random processes.

Suggested Citation

  • Sudhir A. Shah, 2016. "How Risky Is A Random Process?," Working papers 252, Centre for Development Economics, Delhi School of Economics.
    • Handle: RePEc:cde:cdewps:252
    as

    Download full text from publisher

    File URL: http://www.cdedse.org/pdf/work252.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diamond, Peter A. & Stiglitz, Joseph E., 1974. "Increases in risk and in risk aversion," Journal of Economic Theory, Elsevier, vol. 8(3), pages 337-360, July.
    2. Laffont, Jean-Jacques & Tirole, Jean, 1986. "Using Cost Observation to Regulate Firms," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 614-641, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dionne, G. & Doherty, N., 1991. "Adverse Selection In Insurance Markets: A Selective Survey," Cahiers de recherche 9105, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Perez-Castrillo, David & Riedinger, Nicolas, 2004. "Auditing cost overrun claims," Journal of Economic Behavior & Organization, Elsevier, vol. 54(2), pages 267-285, June.
    3. Surajeet Chakravarty & W. Bentley MacLeod, 2006. "Construction Contracts (or “How to Get the Right Building at the Right Price?”)," CESifo Working Paper Series 1714, CESifo.
    4. Shrestha, Ratna K., 2017. "Menus of price-quantity contracts for inducing the truth in environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 1-7.
    5. Imam, M. & Jamasb, T. & Llorca, M. & Llorca, M., 2018. "Power Sector Reform and Corruption: Evidence from Electricity Industry in Sub-Saharan Africa," Cambridge Working Papers in Economics 1801, Faculty of Economics, University of Cambridge.
    6. Herz, Holger & Schunk, Daniel & Zehnder, Christian, 2014. "How do judgmental overconfidence and overoptimism shape innovative activity?," Games and Economic Behavior, Elsevier, vol. 83(C), pages 1-23.
    7. Strausz, Roland, 2006. "Deterministic versus stochastic mechanisms in principal-agent models," Journal of Economic Theory, Elsevier, vol. 128(1), pages 306-314, May.
    8. Ufuk Akcigit & Douglas Hanley & Stefanie Stantcheva, 2022. "Optimal Taxation and R&D Policies," Econometrica, Econometric Society, vol. 90(2), pages 645-684, March.
    9. Hildreth, Clifford & Kislev, Yoav, 1980. "A Model Of Yield Variability And Price Effect," Staff Papers 13755, University of Minnesota, Department of Applied Economics.
    10. Robert Gary‐Bobo & Yossi Spiegel, 2006. "Optimal state‐contingent regulation under limited liability," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 431-448, June.
    11. Isabelle Brocas, 2005. "Multistage Contracting with Applications to R&D and Insurance Policies," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 7(2), pages 317-346, May.
    12. Lohmann, Gui & Trischler, Jakob, 2017. "Licence to build, licence to charge? Market power, pricing and the financing of airport infrastructure development in Australia," Transport Policy, Elsevier, vol. 59(C), pages 28-37.
    13. Dennis L. Gärtner, 2010. "Monopolistic screening under learning by doing," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 574-597, September.
    14. van Wijnbergen, Sweder, 1992. "Trade Reform, Policy Uncertainty, and the Current Account: A Non-Expected-Utility Approach," American Economic Review, American Economic Association, vol. 82(3), pages 626-633, June.
    15. Röthig, Andreas, 2008. "The Impact of Backwardation on Hedgers' Demand for Currency Futures Contracts: Theory versus Empirical Evidence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35698, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Ana Paula Martins, 2008. "Uninsurable Risks: Uncertainty in Production, the Value of Information and Price Dispersion," Economics Bulletin, AccessEcon, vol. 28(8), pages 1.
    17. Qiao Wang, 2023. "Does the Chinese labour force make sufficient efforts? Empirical evidence using non‐parametric analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3262-3280, July.
    18. Roland Bénabou & Jean Tirole, 2016. "Bonus Culture: Competitive Pay, Screening, and Multitasking," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 305-370.
    19. Frewer, Geoff, 1985. "Optimal Destabilisation, Active Learning, and the Choice of Step Length in Policy Reform," Economic Research Papers 269230, University of Warwick - Department of Economics.
    20. Garrett, Daniel F., 2020. "Payoff Implications of Incentive Contracting," TSE Working Papers 20-1140, Toulouse School of Economics (TSE).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cde:cdewps:252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sanjeev Sharma (email available below). General contact details of provider: https://edirc.repec.org/data/cdudein.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.