Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 3 Sayı: 1, 44 - 69, 30.06.2021

Öz

Kaynakça

  • Adam, A. (2012). “New Approaches for Monetary Policy”, Theoretical and Applied Economics, Vol. XIX,No. 2(567), pp. 89-96.
  • Adrian, T., Shin, S. (2008). “Liquidity, monetary policy and financial cyclesˮ, Current Issues in Economics and Finance, Vol.14, No.1, Federal Reserve Bank of New York.
  • Andre, C., Caraiani, P., Călin, A.C. and Gupta, R. (2018). “Can monetary policy lean against housing bubbles?”, working paper [No.77], University of Pretoria, Department of Economics, Pretoria, 28 November.
  • Ananchotikul, N. and Zhang, L. (2014). “Portfolio Flows, Global Risk Aversion and Asset Prices in Emerging Markets”, working paper [14/156], International Monetary Fund, 24 August.
  • Annaert, J., Claes, A.G.P, De Ceuster, M.J.K and Zhang H. (2012). “Estimating the Yield Curve Using the Nelson-Siegel Model: A Ridge Regression Approach”, International Review of Economics & Finance, Forthcoming, available at: http://dx.doi.org/10.2139/ssrn.2054689
  • Asriyan, V., Fornaro, L., Martin, A. and Ventura, J. (2020). “Monetary Policy for a Bubbly World”, The Review of Economic Studies, pp. 1-39. doi: https://doi.org/10.1093/restud/rdaa045
  • Black, F. (1995). “Interest Rates as Options”, The Journal of Finance, Vol.50, No.5, pp.1371-1376. Doi: https://doi.org/10.2307/2329320
  • Blomvall, J. (2017). “Measurement of interest rates using a convex optimization model”, European Journal of Operational Research, Vol. 256 (1), pp. 308-316. doi: https://doi.org/10.1016/j.ejor.2016.05.053
  • Borio, C., Lowe, P. (2002). “Asset prices, financial and monetary stability :exploring the nexusˮ, working paper [No.114], Bank for International Settlements, Monetary and Economic Department, 02 July . Canto, R.M. (2008). “Modelling the Term Structure of Interest Rates: A Literature Review”, Hanken Swedish School of Economics and Business Administration, Department of Finance and Statistics, pp. 27-63.
  • Caraiani, P. and Călin, A. C. (2019). “Housing markets, monetary policy, and the international co-movement of housing bubbles”, Review of International Economics, vol. 28(2). doi: https://doi.org/10.1111/roie.12454
  • Caraiani, P. and Călin, A. C. (2019). “Monetary Policy Effects on Energy Sector Bubbles”, MDPI Open Access Journal, vol. 12(3), pp. 1-13. doi: https://doi.org/10.3390/en12030472
  • Carruthers Bruce, G. (2013). “Diverging derivatives: Law, governance and modern financial markets”, Journal of Comparative Economics, Elsevier, vol. 41(2), pp. 386 - 400. doi: https://doi.org/10.1016/j.jce.2013.03.010
  • Christoffersen, P.F. (2011). Elements of Financial Risk Management. 2nd edn. Academic Press: USA.
  • Cox, J.C., Ingersoll, J.E. and Ross, S.A. (1985). “An Intertemporal General Equiilibrium of Asset Prices”, Econometrica, Vol. 53 (2), pp.363-384.
  • Cwik (2005). “The inverted yield curve and the economic downturnˮ, New Perspectives on Political Economy, Vol.1, No.1, pp.1-37.
  • Diebold, F.X. and Li, C. (2006). “Forecasting the term structure of government bond yields”, Journal of Econometrics, Elsevier, vol. 130(2), pp. 337-364. doi: https://doi.org/10.1016/j.jeconom.2005.03.005
  • Duffie,D., Kan,R. (1996). “A yield-factor model of interest ratesˮ, Journal of Mathematical Finance, Vol.6, No.4, pp.379-406.
  • Fabozzi, F. J., Martellini, L. and Priaulet, P. (2005). “Predictability in the Shape of the Term Structure of Interest Rates”, The Journal of Fixed Income, Vol. 15, No. 1 (June), pp. 40-53. doi: https://doi.org/10.3905/jfi.2005.523089
  • Fabozzi, F.J., Martellini, L. and Priaulet, P. (2006). Advanced Bond Portofolio Management:Best Practices in Modelling and Strategies. John Wiley & Sons: New Jersey, pp.270-280.
  • Filardo, A. (2004). “Monetary policy and asset price bubbles: calibrating the monetary policy trade-offs”, working paper [No.155], Bank for International Settlements, Monetary and Economic Department, June.
  • Filardo, A.. (2001). “Should monetary policy respond to asset price bubbles? Some experimental results”, research working paper [No. 01-04], Federal Reserve Bank of Kansas City, July.
  • Fisher, M., Nychka, D. and Zervos D. (1994). “Fitting the term structure of interest rates with smoothing splines”, working paper [No.95-1], Federal Reserve System, January. Gambacorta, L. and Signoretti, F.M. (2014). “Should monetary policy lean against the wind? - an analysis based on a DSGE model with banking”, Journal of Economic Dynamics and Control, Vol.43, pp.146-174. doi: https://doi.org/10.1016/j.jedc.2014.01.016
  • Gerdrup, K., Hansen, F., Krogh, T. and Maih, J. (2017). “Leaning against the wind when credit bites back”, International Journal of Central Banking, Vol.13, No.3, pp.287-320.
  • Gibson, R., Lhabitant, F.S. and Talay, D. (2001). “Modelling the term structure of interest rates: a review of the literature”, Foundation and Trends in Finance, Vol.5, pp. 8-70.
  • Gilli, M.,Grosse, S. and Schumann, E. (2010). “Calibrating the Nelson-Siegel-Svensson Model”, working paper [No.31], Computational Optimization Methods in Statistics, Econometrics and Finance, 30 March.
  • Hagan, P. and West, G. (2006). “Interpolation methods for curve construction”, Applied Mathematical Finance, Vol. 13, No. 2, pp.89-129. doi: https://doi.org/10.1080/13504860500396032
  • Hagenbjörk, J. (2019). “Optimization – Based Models for Measuring and Hedging Risk in Fixed Income Markets”, Department of Management and Engineering, Division of Production Economics, Linköping University, Sweden, pp. 29-36. doi: https://doi.org/10.3384/diss.diva-162576
  • Heat, D., Jarrow, R., Morton, A. (1992). “Bond pricing and the term structure of interested rates: A new methodology for contingent claims valuationˮ, Econometrica, Vol.60, No.1, pp.77-105.
  • Hladikova, H. and Radova, J. (2012). “Term Structure Modelling by Using Nelson – Siegel Model”, European Financial and Accounting Journal, Vol.7(2), pp-36-55. doi: http://dx.doi.org/10.18267/j.efaj.9
  • Ho, T., Lee, S. (1986). “Term structure movements and pricing interest rate contingent claimsˮ, The Journal of Finance, Vol.41, No.5, pp.1011-1029. doi: https://doi.org/10.2307/2328161
  • Hull, J. (2018).Risk Management and Financial Institutions. 5th edn. John Wiley & Sons: New Jersey.
  • Hull, J. and White, A. (1990). “Pricing Interest-Rate-Derivative Securitiesˮ, Review of Financial Studies, Vol.3, No.4, pp.573-592
  • Ibanez, F. (2016). “Calibrating the Dynamic Nelson- Siegel Model: A Practitioner Approach”, working paper [No. 774], Central Bank of Chile, Santiago, Chile, January
  • Jorda, O., Schularick, M., Taylor, A.M. (2015). “Leveraged bubblesˮ, Journal of Monetary Economics, Vol.76, Supplement, pp.S1-S20. doi: https://doi.org/10.1016/j.jmoneco.2015.08.005
  • Marciniak, M. (2006). “Yield Curve Estimation at the National Bank of Polandˮ, working paper [No. 247], National Bank of Poland
  • McCulloch, J.H. (1971). “Measuring the Term Structure of Interest Rates”, The Journal of Business, Vol. 44(1), pp. 19-31, University of Chicago Press, available at: https://www.jstor.org/stable/2351832
  • Meyer, S.,Wagener, M. and Weinhardt, C. (2017). “Politically Motivated Taxes in Financial Markets: The Case of the French Financial Transaction Tax”, Journal of Financial Services Research, Springer, Western Finance Association, Vol. 47(2), pp. 177-202. doi: https://doi.org/10.1007/s10693-013-0189-8
  • Nelson, R.C. and Siegel, A.F.(1987). “Parsimonious Modelling of Yield Curves”, The Journal of Business, Vol. 60 (4), pp 473-489, available at: https://www.jstor.org/stable/2352957
  • Nikolayevich, S. V., Mladenovich, K.G. and Pavlovich, Y.A. (2017). “Impact of Political News: Evidence from Russia”, Scientific Annals of Economics and Business, Sciendo, Vol. 64(3), pp. 271-287. doi: http://dx.doi.org/10.1515/saeb-2017-0018
  • Sambit, B. (2013). “Political origins of financial structure”, Journal of Comparative Economics, Elsevier, Vol. 41(4), pp. 979-994. doi: https://doi.org/10.1016/j.jce.2013.05.009 Saunders, A. and Cornett, M.M. (2018). Financial Institutions Management. A Risk Management Aprroach, 9th edn. McGraw-Hill Education: USA.
  • Shea, G. (1985). “Interest rate term structure estimation with exponential splines: A note”, The Journal of Finance, Vol. 40, pp. 319–325. doi: https://doi.org/10.2307/2328063
  • Svensson, L.E.O. (1994). “Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994”, working paper [No.4871], National Bureau of Economic Research, September.
  • Svensson, L.E.O. (2016). “Inflation Targeting and "Leaning Against the Wind”, Israel Economic Review, Vol. 13(1), pp. 91-99, Bank of Israel.
  • Svensson, L.E.O. (2017). “Cost-benefit analysis of leaning against the wind”, Journal of Monetary Economics, Elsevier, Vol. 90(C), pp.193-213. doi: https://doi.org/10.1016/j.jmoneco.2017.07.004
  • Toraman, C., Tuncay, M. (2017). “Effect of the Political Risk on Capital Asset Valuation in Financial Markets: The Case of Turkey”, Business and Economics Research Journal, Vol. 8, No.3, pp. 413-432.
  • Vasicek, O.A and Fong, H.G. (1982). “Term Structure Modeling Using Exponential Splines”, The Journal of Finance, Vol. XXXVII, No.2, pp.339-348. doi: https://doi.org/10.1111/j.1540-6261.1982.tb03555.x
  • Vayonas, D., Vila, J. (2009). “A Preffered – Habitat Model of the Term Structure of Interest Ratesˮ, working paper [No.15487], National Bureau of Economic Research, November.
  • Vojtek, M. (2004). “Calibration of Interest Rate Models – Transition Market Case”, working paper [No. 2004-119], Center for Economic Research and Graduate Education, Economics Institute, Academy of Sciences of the Czech Republic, Czech Republic, January 24
  • Zacek, J. (2018). “Should Monetary Policy Lean against the Wind? An Evidence from a DSGE Model with Occasionally Binding Constraint”, working paper [No.37], Institute of Economic Studies, Faculty of Social Sciences, Charles University Prague, Czech Republic, December.
  • Zampolli, F. (2006). “Optimal monetary policy in a regime-switching economy: The response to abrupt shifts in exchange rate dynamics”, Journal of Economic Dynamics and Control, Vol. 30 (9-10), pp.1527-1567. doi: https://doi.org/10.1016/j.jedc.2005.10.013

Use of Calibration Methods in Estimating Yield Fixed Income Financial Instruments

Yıl 2021, Cilt: 3 Sayı: 1, 44 - 69, 30.06.2021

Öz

Given that the temporal structure of interest rates is a highly debated and studied topic in the complex and vast field of scientific research in the financial field, this paper focuses on demonstrating how the evolution of the yield curve of government bonds in a given state can highlight a relationship of dependence or show a degree of influence over the trend observed at the level of another state. The estimation of the various parameters involved in the calculation and construction of this curve, by using the optimization models in this direction, Nelson-Siegel (NS) and Nelson-Siegel-Svensson (NSS), highlights the necessary specific information on the degree of curvature, or turning points, based on the theoretical-applicative basis of the parametric function between the time to maturity of the instrument and its yield. Therefore, finally, the degree of understanding of the mechanism given by the temporal structure is explained by the use of a series of correlational relations, which show various interdependencies between daily yields, estimated parameters or between spreads. The results of the research demonstrate the various dependencies at the level of European countries (Germany, Switzerland, Czech Republic, Norway, Poland, Hungary), as well as outside the European family (Malaysia and Vietnam). It is noteworthy that Germany and the Czech Republic have a high degree of correlation over most of the countries analyzed. As the result, the relevance of fixed income instruments and the theoretical intensification of the temporal structure of interest rates are given by the quantitative procedures of the models used. To conclude, the character of predictability and confidence is capitalized, being quantified in the implementation, adoption and drawing of directions of action of monetary or tax policies, being essential in guiding players in the financial arena on decision-making and investment processes that can contribute to the popularity of risk-free instruments.

Kaynakça

  • Adam, A. (2012). “New Approaches for Monetary Policy”, Theoretical and Applied Economics, Vol. XIX,No. 2(567), pp. 89-96.
  • Adrian, T., Shin, S. (2008). “Liquidity, monetary policy and financial cyclesˮ, Current Issues in Economics and Finance, Vol.14, No.1, Federal Reserve Bank of New York.
  • Andre, C., Caraiani, P., Călin, A.C. and Gupta, R. (2018). “Can monetary policy lean against housing bubbles?”, working paper [No.77], University of Pretoria, Department of Economics, Pretoria, 28 November.
  • Ananchotikul, N. and Zhang, L. (2014). “Portfolio Flows, Global Risk Aversion and Asset Prices in Emerging Markets”, working paper [14/156], International Monetary Fund, 24 August.
  • Annaert, J., Claes, A.G.P, De Ceuster, M.J.K and Zhang H. (2012). “Estimating the Yield Curve Using the Nelson-Siegel Model: A Ridge Regression Approach”, International Review of Economics & Finance, Forthcoming, available at: http://dx.doi.org/10.2139/ssrn.2054689
  • Asriyan, V., Fornaro, L., Martin, A. and Ventura, J. (2020). “Monetary Policy for a Bubbly World”, The Review of Economic Studies, pp. 1-39. doi: https://doi.org/10.1093/restud/rdaa045
  • Black, F. (1995). “Interest Rates as Options”, The Journal of Finance, Vol.50, No.5, pp.1371-1376. Doi: https://doi.org/10.2307/2329320
  • Blomvall, J. (2017). “Measurement of interest rates using a convex optimization model”, European Journal of Operational Research, Vol. 256 (1), pp. 308-316. doi: https://doi.org/10.1016/j.ejor.2016.05.053
  • Borio, C., Lowe, P. (2002). “Asset prices, financial and monetary stability :exploring the nexusˮ, working paper [No.114], Bank for International Settlements, Monetary and Economic Department, 02 July . Canto, R.M. (2008). “Modelling the Term Structure of Interest Rates: A Literature Review”, Hanken Swedish School of Economics and Business Administration, Department of Finance and Statistics, pp. 27-63.
  • Caraiani, P. and Călin, A. C. (2019). “Housing markets, monetary policy, and the international co-movement of housing bubbles”, Review of International Economics, vol. 28(2). doi: https://doi.org/10.1111/roie.12454
  • Caraiani, P. and Călin, A. C. (2019). “Monetary Policy Effects on Energy Sector Bubbles”, MDPI Open Access Journal, vol. 12(3), pp. 1-13. doi: https://doi.org/10.3390/en12030472
  • Carruthers Bruce, G. (2013). “Diverging derivatives: Law, governance and modern financial markets”, Journal of Comparative Economics, Elsevier, vol. 41(2), pp. 386 - 400. doi: https://doi.org/10.1016/j.jce.2013.03.010
  • Christoffersen, P.F. (2011). Elements of Financial Risk Management. 2nd edn. Academic Press: USA.
  • Cox, J.C., Ingersoll, J.E. and Ross, S.A. (1985). “An Intertemporal General Equiilibrium of Asset Prices”, Econometrica, Vol. 53 (2), pp.363-384.
  • Cwik (2005). “The inverted yield curve and the economic downturnˮ, New Perspectives on Political Economy, Vol.1, No.1, pp.1-37.
  • Diebold, F.X. and Li, C. (2006). “Forecasting the term structure of government bond yields”, Journal of Econometrics, Elsevier, vol. 130(2), pp. 337-364. doi: https://doi.org/10.1016/j.jeconom.2005.03.005
  • Duffie,D., Kan,R. (1996). “A yield-factor model of interest ratesˮ, Journal of Mathematical Finance, Vol.6, No.4, pp.379-406.
  • Fabozzi, F. J., Martellini, L. and Priaulet, P. (2005). “Predictability in the Shape of the Term Structure of Interest Rates”, The Journal of Fixed Income, Vol. 15, No. 1 (June), pp. 40-53. doi: https://doi.org/10.3905/jfi.2005.523089
  • Fabozzi, F.J., Martellini, L. and Priaulet, P. (2006). Advanced Bond Portofolio Management:Best Practices in Modelling and Strategies. John Wiley & Sons: New Jersey, pp.270-280.
  • Filardo, A. (2004). “Monetary policy and asset price bubbles: calibrating the monetary policy trade-offs”, working paper [No.155], Bank for International Settlements, Monetary and Economic Department, June.
  • Filardo, A.. (2001). “Should monetary policy respond to asset price bubbles? Some experimental results”, research working paper [No. 01-04], Federal Reserve Bank of Kansas City, July.
  • Fisher, M., Nychka, D. and Zervos D. (1994). “Fitting the term structure of interest rates with smoothing splines”, working paper [No.95-1], Federal Reserve System, January. Gambacorta, L. and Signoretti, F.M. (2014). “Should monetary policy lean against the wind? - an analysis based on a DSGE model with banking”, Journal of Economic Dynamics and Control, Vol.43, pp.146-174. doi: https://doi.org/10.1016/j.jedc.2014.01.016
  • Gerdrup, K., Hansen, F., Krogh, T. and Maih, J. (2017). “Leaning against the wind when credit bites back”, International Journal of Central Banking, Vol.13, No.3, pp.287-320.
  • Gibson, R., Lhabitant, F.S. and Talay, D. (2001). “Modelling the term structure of interest rates: a review of the literature”, Foundation and Trends in Finance, Vol.5, pp. 8-70.
  • Gilli, M.,Grosse, S. and Schumann, E. (2010). “Calibrating the Nelson-Siegel-Svensson Model”, working paper [No.31], Computational Optimization Methods in Statistics, Econometrics and Finance, 30 March.
  • Hagan, P. and West, G. (2006). “Interpolation methods for curve construction”, Applied Mathematical Finance, Vol. 13, No. 2, pp.89-129. doi: https://doi.org/10.1080/13504860500396032
  • Hagenbjörk, J. (2019). “Optimization – Based Models for Measuring and Hedging Risk in Fixed Income Markets”, Department of Management and Engineering, Division of Production Economics, Linköping University, Sweden, pp. 29-36. doi: https://doi.org/10.3384/diss.diva-162576
  • Heat, D., Jarrow, R., Morton, A. (1992). “Bond pricing and the term structure of interested rates: A new methodology for contingent claims valuationˮ, Econometrica, Vol.60, No.1, pp.77-105.
  • Hladikova, H. and Radova, J. (2012). “Term Structure Modelling by Using Nelson – Siegel Model”, European Financial and Accounting Journal, Vol.7(2), pp-36-55. doi: http://dx.doi.org/10.18267/j.efaj.9
  • Ho, T., Lee, S. (1986). “Term structure movements and pricing interest rate contingent claimsˮ, The Journal of Finance, Vol.41, No.5, pp.1011-1029. doi: https://doi.org/10.2307/2328161
  • Hull, J. (2018).Risk Management and Financial Institutions. 5th edn. John Wiley & Sons: New Jersey.
  • Hull, J. and White, A. (1990). “Pricing Interest-Rate-Derivative Securitiesˮ, Review of Financial Studies, Vol.3, No.4, pp.573-592
  • Ibanez, F. (2016). “Calibrating the Dynamic Nelson- Siegel Model: A Practitioner Approach”, working paper [No. 774], Central Bank of Chile, Santiago, Chile, January
  • Jorda, O., Schularick, M., Taylor, A.M. (2015). “Leveraged bubblesˮ, Journal of Monetary Economics, Vol.76, Supplement, pp.S1-S20. doi: https://doi.org/10.1016/j.jmoneco.2015.08.005
  • Marciniak, M. (2006). “Yield Curve Estimation at the National Bank of Polandˮ, working paper [No. 247], National Bank of Poland
  • McCulloch, J.H. (1971). “Measuring the Term Structure of Interest Rates”, The Journal of Business, Vol. 44(1), pp. 19-31, University of Chicago Press, available at: https://www.jstor.org/stable/2351832
  • Meyer, S.,Wagener, M. and Weinhardt, C. (2017). “Politically Motivated Taxes in Financial Markets: The Case of the French Financial Transaction Tax”, Journal of Financial Services Research, Springer, Western Finance Association, Vol. 47(2), pp. 177-202. doi: https://doi.org/10.1007/s10693-013-0189-8
  • Nelson, R.C. and Siegel, A.F.(1987). “Parsimonious Modelling of Yield Curves”, The Journal of Business, Vol. 60 (4), pp 473-489, available at: https://www.jstor.org/stable/2352957
  • Nikolayevich, S. V., Mladenovich, K.G. and Pavlovich, Y.A. (2017). “Impact of Political News: Evidence from Russia”, Scientific Annals of Economics and Business, Sciendo, Vol. 64(3), pp. 271-287. doi: http://dx.doi.org/10.1515/saeb-2017-0018
  • Sambit, B. (2013). “Political origins of financial structure”, Journal of Comparative Economics, Elsevier, Vol. 41(4), pp. 979-994. doi: https://doi.org/10.1016/j.jce.2013.05.009 Saunders, A. and Cornett, M.M. (2018). Financial Institutions Management. A Risk Management Aprroach, 9th edn. McGraw-Hill Education: USA.
  • Shea, G. (1985). “Interest rate term structure estimation with exponential splines: A note”, The Journal of Finance, Vol. 40, pp. 319–325. doi: https://doi.org/10.2307/2328063
  • Svensson, L.E.O. (1994). “Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994”, working paper [No.4871], National Bureau of Economic Research, September.
  • Svensson, L.E.O. (2016). “Inflation Targeting and "Leaning Against the Wind”, Israel Economic Review, Vol. 13(1), pp. 91-99, Bank of Israel.
  • Svensson, L.E.O. (2017). “Cost-benefit analysis of leaning against the wind”, Journal of Monetary Economics, Elsevier, Vol. 90(C), pp.193-213. doi: https://doi.org/10.1016/j.jmoneco.2017.07.004
  • Toraman, C., Tuncay, M. (2017). “Effect of the Political Risk on Capital Asset Valuation in Financial Markets: The Case of Turkey”, Business and Economics Research Journal, Vol. 8, No.3, pp. 413-432.
  • Vasicek, O.A and Fong, H.G. (1982). “Term Structure Modeling Using Exponential Splines”, The Journal of Finance, Vol. XXXVII, No.2, pp.339-348. doi: https://doi.org/10.1111/j.1540-6261.1982.tb03555.x
  • Vayonas, D., Vila, J. (2009). “A Preffered – Habitat Model of the Term Structure of Interest Ratesˮ, working paper [No.15487], National Bureau of Economic Research, November.
  • Vojtek, M. (2004). “Calibration of Interest Rate Models – Transition Market Case”, working paper [No. 2004-119], Center for Economic Research and Graduate Education, Economics Institute, Academy of Sciences of the Czech Republic, Czech Republic, January 24
  • Zacek, J. (2018). “Should Monetary Policy Lean against the Wind? An Evidence from a DSGE Model with Occasionally Binding Constraint”, working paper [No.37], Institute of Economic Studies, Faculty of Social Sciences, Charles University Prague, Czech Republic, December.
  • Zampolli, F. (2006). “Optimal monetary policy in a regime-switching economy: The response to abrupt shifts in exchange rate dynamics”, Journal of Economic Dynamics and Control, Vol. 30 (9-10), pp.1527-1567. doi: https://doi.org/10.1016/j.jedc.2005.10.013
Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finans
Bölüm Araştırma Makaleleri
Yazarlar

George-eduard Grigore Bu kişi benim

Yayımlanma Tarihi 30 Haziran 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 3 Sayı: 1

Kaynak Göster

APA Grigore, G.-e. (2021). Use of Calibration Methods in Estimating Yield Fixed Income Financial Instruments. Economics Business and Organization Research, 3(1), 44-69.