IDEAS home Printed from https://ideas.repec.org/a/blg/journl/v13y2018i3p13-25.html
   My bibliography  Save this article

On An Increasingly Yield Curve Of Knowledge

Author

Listed:
  • DINGA Emil

    (Romanian Academy, Bucharest, Romania)

Abstract

The paper examines the behaviour of the yield curve of the knowledge considered as production factor. The concepts of complementarity and substitutability among classical production factors are revisited in order to put the bases to analyse the special production factor (a species of the neo-production factors) namely knowledge. In this context, some distinctions are made between information and knowledge putting in view the added value of knowledge related to information. Some graphical construction and algebraic formalisms are convoked in order to better ground the final conclusions regarding the increasing nature of the knowledge yield curve in the knowledge-based society. The approach is preponderantly logic and conceptualized, trying to get general results which could then be tested, by other researchers, in order either to corroborate or to reject them.

Suggested Citation

  • DINGA Emil, 2018. "On An Increasingly Yield Curve Of Knowledge," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(3), pages 13-25, December.
    • Handle: RePEc:blg:journl:v:13:y:2018:i:3:p:13-25
    as

    Download full text from publisher

    File URL: http://eccsf.ulbsibiu.ro/RePEc/blg/journl/13302dinga.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hans Dewachter & Leonardo Iania & Marco Lyrio, 2014. "Information In The Yield Curve: A Macro‐Finance Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 42-64, January.
    2. Hans Dewachter & Leonardo Iania & Marco Lyrio, 2014. "Information In The Yield Curve: A Macro‐Finance Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 42-64, January.
    3. Anna Cieslak & Pavol Povala, 2016. "Information in the Term Structure of Yield Curve Volatility," Journal of Finance, American Finance Association, vol. 71(3), pages 1393-1436, June.
    4. Ferrer, Geraldo, 2003. "Yield information and supplier responsiveness in remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 149(3), pages 540-556, September.
    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. P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers 2015-71, Scottish Institute for Research in Economics (SIRE).
    2. Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
    3. Ireland, Peter N., 2015. "Monetary policy, bond risk premia, and the economy," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 124-140.
    4. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Hang Thi Thu Vu, 2021. "The Relationship between Yield Curve and Economic Activity: An Analysis of G7 Countries," JRFM, MDPI, vol. 14(2), pages 1-23, February.
    5. Tosapol Apaitan, 2015. "Extracting Market Inflation Expectations: A Semi-structural Macro-finance Term Structure Model," PIER Discussion Papers 4, Puey Ungphakorn Institute for Economic Research.
    6. Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.
    7. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
    8. Bin He & Xin Yuan & Shusheng Qian & Bing Li, 2023. "Product low‐carbon design, manufacturing, logistics, and recycling: An overview," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(5), September.
    9. Bakshi, Gurdip & Crosby, John & Gao, Xiaohui & Hansen, Jorge W., 2023. "Treasury option returns and models with unspanned risks," Journal of Financial Economics, Elsevier, vol. 150(3).
    10. Diego Alejandro Martínez Cruz & José Fernando Moreno Gutiérrez & Juan Sebastián Rojas Moreno, 2015. "Evolución de la relación entre bonos locales y externos del gobierno colombiano frente a choques de riesgo," Borradores de Economia 919, Banco de la Republica de Colombia.
    11. Ohnsorge,Franziska Lieselotte & Stocker,Marc & Some,Modeste Y., 2016. "Quantifying uncertainties in global growth forecasts," Policy Research Working Paper Series 7770, The World Bank.
    12. Monfort, Alain & Pegoraro, Fulvio & Renne, Jean-Paul & Roussellet, Guillaume, 2017. "Staying at zero with affine processes: An application to term structure modelling," Journal of Econometrics, Elsevier, vol. 201(2), pages 348-366.
    13. Panagiotidou, Sofia & Nenes, George & Zikopoulos, Christos & Tagaras, George, 2017. "Joint optimization of manufacturing/remanufacturing lot sizes under imperfect information on returns quality," European Journal of Operational Research, Elsevier, vol. 258(2), pages 537-551.
    14. Recchioni, M.C. & Sun, Y., 2016. "An explicitly solvable Heston model with stochastic interest rate," European Journal of Operational Research, Elsevier, vol. 249(1), pages 359-377.
    15. Yun, Jaeho, 2019. "Bond risk premia in a small open economy with volatile capital flows: The case of Korea," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 223-243.
    16. Chiarella, Carl & Hsiao, Chih-Ying & Tô, Thuy-Duong, 2016. "Stochastic correlation and risk premia in term structure models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 59-78.
    17. Jing Yuan & Yan Peng & Tsun Zongwu Cai & Zhengyi Zhang, 2022. "A Quantitative Evaluation of Interest Rate Liberalization Reform in China," Annals of Economics and Finance, Society for AEF, vol. 23(2), pages 197-221, November.
    18. Ondemir, Onder & Gupta, Surendra M., 2014. "A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system," European Journal of Operational Research, Elsevier, vol. 233(2), pages 408-419.
    19. Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
    20. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.

    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:blg:journl:v:13:y:2018:i:3:p:13-25. 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: Mihaela Herciu (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.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.