Research article Special Issues

Analysis of capital asset pricing model on Deutsche bank energy commodity

  • Received: 16 January 2020 Accepted: 04 March 2020 Published: 06 March 2020
  • JEL Codes: G10, G11, G32

  • Capital asset pricing model (CAPM) is one of the widely used asset pricing models in modern securities theory. This mathematical model can help investors understand the relationship between expected returns and investment risk. To help energy commodity investors (especially Deutsche Bank) make the best decisions in investment management, this paper uses the CAPM and some statistical tools (variance, covariance and mean) to study risks on the expected return of investing in four common Deutsche Bank (DB) crude oil assets (DB crude oil double short, SZO-DB crude oil short order, OLO-DB crude oil short position, DBO-Invesco DB Petroleum Fund). The result reveals that DTO-DB Crude oil Double Short has the highest beta risk and highest expected return. And the higher the risk, the higher the expected return, and vice versa, that is, the risk is directly proportional to the expected return. In addition, the results also show that 73% of the investoros wealth can be spent on a risky asset in DTO-DB Crude oil Double Short, 67% in SZO-DB Crude oil Short, 16% in OLO-DB Crude oil Short. Since the expected returns of DBO-Invesco DB Crude oil fund has a negative risk with negative expected returns, the investment in DBO-Invesco DB Crude oil will result in having a loss from the investment.

    Citation: Tolulope Latunde, Lukman Shina Akinola, Damilola Deborah Dare. Analysis of capital asset pricing model on Deutsche bank energy commodity[J]. Green Finance, 2020, 2(1): 20-34. doi: 10.3934/GF.2020002

    Related Papers:

  • Capital asset pricing model (CAPM) is one of the widely used asset pricing models in modern securities theory. This mathematical model can help investors understand the relationship between expected returns and investment risk. To help energy commodity investors (especially Deutsche Bank) make the best decisions in investment management, this paper uses the CAPM and some statistical tools (variance, covariance and mean) to study risks on the expected return of investing in four common Deutsche Bank (DB) crude oil assets (DB crude oil double short, SZO-DB crude oil short order, OLO-DB crude oil short position, DBO-Invesco DB Petroleum Fund). The result reveals that DTO-DB Crude oil Double Short has the highest beta risk and highest expected return. And the higher the risk, the higher the expected return, and vice versa, that is, the risk is directly proportional to the expected return. In addition, the results also show that 73% of the investoros wealth can be spent on a risky asset in DTO-DB Crude oil Double Short, 67% in SZO-DB Crude oil Short, 16% in OLO-DB Crude oil Short. Since the expected returns of DBO-Invesco DB Crude oil fund has a negative risk with negative expected returns, the investment in DBO-Invesco DB Crude oil will result in having a loss from the investment.


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    [1] Acharya VV, Pedersen LH (2005) Asset Pricing with Liquidity Risk. J Financ Econ 77: 375-410. doi: 10.1016/j.jfineco.2004.06.007
    [2] Adedokun AJ, Olokojo SA (2012) test for Capital Asset Pricing Model: Evidence from Nigerian Stock Exchange. J Econ Theory 6: 121-127.
    [3] Alqisie A (2016) Validity of Capital Assets Pricing Model (CAPM): Empirical Evidences from Amman Stock Exchange. J Manage Res 8: 207-223.
    [4] Black F (1972) Capital market equilibrium with restricted borrowing. J Bus 45: 444-455. doi: 10.1086/295472
    [5] Bollerslev T (1986) Generalized autoregressive conditional hetroscedasticity. J Econometrics 31: 307-327. doi: 10.1016/0304-4076(86)90063-1
    [6] Breeden D (1979) An intertemporal asset pricing model with stochastic consumption and investment opportunities. J Financ Econ 7: 265-296. doi: 10.1016/0304-405X(79)90016-3
    [7] Camberlain G, Rothschild M (1983) Arbitrage factor structure and mean variance analysis on large asset markets. Econometrica 51: 1281-1034. doi: 10.2307/1912275
    [8] Cochrane JH (1991) Production-Based Asset Pricing and the Link Between Stock Returns and Economic Fluctuations. J Financ 46: 209-237. doi: 10.1111/j.1540-6261.1991.tb03750.x
    [9] Celik S (2012) Theoretical and Emperical Review of Asset Pricing Models: A Structural Synthesis. J Econ Financ Issues 2:141-178.
    [10] Engle RF (1982) Autoregressive conditional hetroscedasticity with estimates of UK inflation. Econometrica 50: 987-1007. doi: 10.2307/1912773
    [11] Fama EF, Macbeth JD (1973) Risk, Return and equilibrium: empirical tests. J Political Econ 81: 607-636. doi: 10.1086/260061
    [12] Fama EF, French KR (1992) The cross-section of expected stock returns. J Financ 47: 427-465. doi: 10.1111/j.1540-6261.1992.tb04398.x
    [13] Fama EF, French KR (2004) The capital asset pricing model. J Econ Perspect 18: 25-46. doi: 10.1257/0895330042162430
    [14] French CW (2003) The Treynor Capital Asset Pricing Model. J Investment Manage 1: 60-72.
    [15] Ibrahim OM, Jayeola D (2018) On the effect of capital asset pricing model on precious metals and crude oil investments. Control Sci Eng 2: 66-70.
    [16] Iqbal (2011) Relevance of Capital Asset Pricing Model-A Review. J Bank finance Serv Insur Res 1: 85-97
    [17] Jagannathan R, Wang Z (1996) The conditional CAPM and the Cross-section of expected returns. J Financ 51: 3-53. doi: 10.1111/j.1540-6261.1996.tb05201.x
    [18] Jensen MC, Black F, Scholes MS (1972) The Capital Asset Pricing Model: Some empirical Tests. In Studies in the theory of capital markets, 79-121.
    [19] Knight F (1921) Risk, Uncertainty and Profi, Houghton Mifflin, Boston.
    [20] Latunde T, Bamigbola OM (2016) Uncertain optimal control model for management of net risky capital asset. IOSR J Math (IOSR-JM) 12: 22-30.
    [21] Latunde T, Bamigbola OM, Aderinto YO (2016) Sensitivity of parameters in an optimal control model of the electric power generating system. Ilorin J Comput Sci Inf Technol (ILJCSIT) 1: 54-70.
    [22] Latunde T, Bamigbola OM (2018) Parameter Estimation and Sensitivity Analysis of an Optimal Control Model for Capital Asset Management. Adv Fuzzy Syst: 1-11.
    [23] Latunde T, Richard JO, Esan OO, et al. (2019) Sensitivity of parameters in the approach of linear programming to a transportation problem. J Niger Society Phys Sci 1: 116-121.
    [24] Latunde T (2019) Optimal values in an uncertain optimal control with application to a capital asset management. Adv Sys Sci Appl (ASSA) 19: 52-64.
    [25] Latunde T, Esan OO, Richard JO, et al. (2020). Analysis of a stochastic optimal control for pension fund management and application to investments in lower middle-income countries. J Niger Society Phys Sci 2: 1-6.
    [26] Latunde T, Adedotun AF, Ajinuhi JO, et al. (2020). Control policy and sustainability for decision-making in asset management. ATBU J Sci Technol Educ 7: 248-254.
    [27] Latunde T (2020) Multifactor modeling of management of capital assets based on uncertainty theory. In J Math Oper Res (IJMOR). [In press].
    [28] Liang Z (2006) The best beta CAPM. J Appl Financ Econ Lett 2: 131-137. doi: 10.1080/13504850500395993
    [29] Lintner J (1965) The valuation of risk assets and the selection of risky investments in stock portfolios and capital budget. Rev Econ Stat 47: 13-37. doi: 10.2307/1924119
    [30] Markowitz HM (1952) Portfolio selection. J Financ 7: 77-91.
    [31] Markowitz HM (1959) Portfolio selection: Efficient diversification of investments, New York, NY: John Wiley and Sons.
    [32] Mayers D (1972) Nonmarketable assets and capital market equilibrium under uncertainty. Stud Theory Cap Mark, 23-48.
    [33] Mamadou C, Mamadou AK, Mohamed T, et al. (2018) Contribution to the valsuation of BRVM's Assets: A Conditional CAPM Approach. J Risk Financ Manage, 1-15.
    [34] Merton RC (1973) An intertemporal capital asset pricing model. Economentrica 41: 867-887. doi: 10.2307/1913811
    [35] Michailidis GS, Tsopoglou D, Papanastasiou, et al. (2006) Testing the capital asset pricing model (CAPM): The case of the emerging Greek securities market. Int Res J Financ Econ 4: 78-91.
    [36] Miller MH, Scholes M (1972) Rates of return in relation to risk: A re-examination of some recent findings. Stud Theory Cap Mark.
    [37] Elbannan MA (2014) The Capital Asset Pricing Model: An Overview of the Theory. J Econ Financ 7: 216-228.
    [38] Owosu, DA, Appiah SK, Omari-Sasu AY (2016) Pension fund allocation under the markowitz model: A case study of the National Pension Scheme in Ghana. Appl Math 6: 86-91.
    [39] Ross SA (1976) The arbitrage theory of capital asset pricing. J Econ Theory 13: 341-360. doi: 10.1016/0022-0531(76)90046-6
    [40] Rossi M (2016) The capital asset pricing model. Global Bus Econ Rev 18: 604-617. doi: 10.1504/GBER.2016.078682
    [41] Sharpe WF (1964) Capital asset price: A Theory of Market equilibrium under the condition of risk. J Financ 19: 425-442.
    [42] Tobin J (1958) Liquidity preference as behavior toward risk. Rev Econ Stud 25: 65-86. doi: 10.2307/2296205
    [43] Treynor JL (1961) Market Value, Time, and Risk. Time Risk, 95-22
    [44] Treynor JL (1962) Toward a theory of market value of risky assets.
    [45] Yang C (2019) Research on China's exchange online financial market: An exchange online financial capital asset pricing model. Am J Ind BusManage 9: 1045-1058.
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