IDEAS home Printed from https://ideas.repec.org/a/rsr/journl/v61y2013i3p66-76.html
   My bibliography  Save this article

A Continuing Approach, From Financial Economics To Financial Econometrics Or The Econometric Thinking Applied To Financial Economics

Author

Listed:
  • Gheorghe SAVOIU

    (University of Pitesti)

  • Constantin MANEA

    (University of Pitesti)

Abstract

The main aim of this paper is to attempt a theoretical delineation of a new econoscience now known as financial econometrics, which is as a result of a dual approach, one originally from economics to econometrics, followed by another one, articulate, from financial economics to financial econometrics, both purely theoretical, simultaneously stressing the importance of economic and financial modelling, historically detailing the emergence and development of this new econoscience, outlining its subject and objectives, and describing some of the most commonly used methods and models, while noting the presence of increasingly sharp competition of econophysics, sociophysics and economy quantum, in the universe of modelling the processes and phenomena in classical economics and financial economics.

Suggested Citation

  • Gheorghe SAVOIU & Constantin MANEA, 2013. "A Continuing Approach, From Financial Economics To Financial Econometrics Or The Econometric Thinking Applied To Financial Economics," Romanian Statistical Review, Romanian Statistical Review, vol. 61(3), pages 66-76, April.
  • Handle: RePEc:rsr:journl:v:61:y:2013:i:3:p:66-76
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/Articole/2013/RRS_03_2013_a6_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert F. & Ng, Victor K. & Rothschild, Michael, 1990. "Asset pricing with a factor-arch covariance structure : Empirical estimates for treasury bills," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 213-237.
    2. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    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. Charlie Cai & Robert Faff & David Hillier & Michael McKenzie, 2006. "Modelling return and conditional volatility exposures in global stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 27(2), pages 125-142, September.
    2. Charlotte Christiansen, 2004. "Regime switching in the yield curve," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(4), pages 315-336, April.
    3. Pandey, Ajay, 2003. "Modeling and Forecasting Volatility in Indian Capital Markets," IIMA Working Papers WP2003-08-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Steeley, James M., 2006. "Volatility transmission between stock and bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 71-86, February.
    5. Elder, John, 2001. "Can the Volatility of the Federal Funds Rate Explain the Time-Varying Risk Premium in Treasury Bill Returns?," Journal of Macroeconomics, Elsevier, vol. 23(1), pages 73-97, January.
    6. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    7. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    8. Choudhry, Taufiq, 2016. "Time-varying risk premium yield spread effect in term structure and global financial crisis: Evidence from Europe," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 303-311.
    9. Elyasiani, Elyas & Mansur, Iqbal, 1998. "Sensitivity of the bank stock returns distribution to changes in the level and volatility of interest rate: A GARCH-M model," Journal of Banking & Finance, Elsevier, vol. 22(5), pages 535-563, May.
    10. Till Strohsal & Enzo Weber, 2014. "Mean-variance cointegration and the expectations hypothesis," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1983-1997, November.
    11. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Phoebe Koundouri & Theologos Pantelidis & Ben Groom & Ekaterini Panopoulou, 2007. "Discounting the distant future: How much does model selection affect the certainty equivalent rate?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 641-656.
    13. Bahram Adrangi & Richard D. Gritta & Kambiz Raffiee, 2013. "Volatility Spillovers and Nonlinear Dynamics between Jet Fuel Prices and Air Carrier Revenue Passenger Miles in the US," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 01-18, August.
    14. Diether Beuermann & Antonios Antoniou & Alejandro Bernales, 2005. "The Dynamics of the Short-Term Interest Rate in the UK," Finance 0512029, University Library of Munich, Germany.
    15. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    16. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, October.
    17. Bali, Turan G., 2003. "Modeling the stochastic behavior of short-term interest rates: Pricing implications for discount bonds," Journal of Banking & Finance, Elsevier, vol. 27(2), pages 201-228, February.
    18. Param Silvapulle & Robert Pereira & J.H.H. Lee, 1993. "The Impact of Inflation Rate Announcements on the Interest Rate Volatility: Australian Evidence," Working Papers 1993.26, School of Economics, La Trobe University.
    19. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    20. Nijman, T.E. & Palm, F.C., 1991. "Recent developments in modeling volatility in financial data," Discussion Paper 1991-68, Tilburg University, Center for Economic Research.

    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:rsr:journl:v:61:y:2013:i:3:p:66-76. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.