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Risk-Based Decision Making Framework for Investment in the Real Estate Industry

  • Nur Atiqah Rochin Demong
  • Jie Lu
Part of the Intelligent Systems Reference Library book series (ISRL, volume 33)

Abstract

Investment in the real estate industry is subject to high risk, especially when there are a large number of uncertainty factors in a project. Risk analysis has been widely used to make decisions for real estate investment. Accordingly, risk-based decision making is a vital process that should be considered when a list of projects and constraints are being assessed. This chapter proposes a risk-based decision making (RBDM) framework for risk analysis of investment in the real estate industry, based on a review of the research. The framework comprises the basic concepts, process, sources and factors, techniques/approaches, and issues and challenges of RBDM. The framework can be applied to problem solving different issues involved in the decision making process when risk is a factor. Decision makers need to understand the terms and concepts of their problems and be familiar with the processes involved in decision making. They also need to know the source of their problems and the relevant factors involved before selecting the best and most suitable technique to apply to solve their problems. Furthermore, decision makers need to recognize the issues and challenges related to their problems to mitigate future risk by monitoring and controlling risk sources and factors. This framework provides a comprehensive analysis of risk-based decision making and supports decision makers to enable them to achieve optimal decisions.

Keywords

Risk-based decision making framework risk analysis investment real estate industry risk-based decision making technique 

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References

  1. 1.
    Angelou, G.N., Economides, A.A.: A multi-criteria game theory and real-options model for irreversible ICT investment decisions. Telecommunications Policy 33(10-11), 686–705 (2009)CrossRefGoogle Scholar
  2. 2.
    Aven, T.: A unified framework for risk and vulnerability analysis covering both safety and security. Reliability Engineering and System Safety 92(6), 745–754 (2007)CrossRefGoogle Scholar
  3. 3.
    Aven, T., Vinnem, J.E., Wiencke, H.S.: A decision framework for risk management, with application to the offshore oil and gas industry. Reliability Engineering & System Safety 92(4), 433–448 (2007)CrossRefGoogle Scholar
  4. 4.
    Busemeyer, J.R., Pleskac, T.J.: Theoretical tools for understanding and aiding dynamic decision making. Journal of Mathematical Psychology 53(3), 126–138 (2009)MathSciNetzbMATHCrossRefGoogle Scholar
  5. 5.
    Casaigne, N., Lorimier, L.: A challenging future for i-DMSS. In: Intelligent Decision-making Support Systems Foundations, Applications and Challenges, Part III, pp. 401–422 (2007)Google Scholar
  6. 6.
    Changrong, D., Yongkai, M.: Study of Chinese real estate stock daily return under different market condition. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, pp. 1–4 (2008)Google Scholar
  7. 7.
    Chauveau, T., Gatfaoui, H.: Systematic risk and idiosyncratic risk: a useful distinc-tion for valuing European options. Journal of Multinational Financial Management 12(4-5), 305–321 (2002)CrossRefGoogle Scholar
  8. 8.
    Chengda, L., Lingkui, M., Heping, P.: New applications and research of GIS in the real estate. In: International Conference on Info-tech and Info-net, ICII 2001, Beijing, vol. 1, pp. 261–266 (2001)Google Scholar
  9. 9.
    Delen, D., Pratt, D.B.: An integrated and intelligent DSS for manufacturing systems. Expert Systems with Applications 30(2), 325–336 (2006)CrossRefGoogle Scholar
  10. 10.
    Hui, E.C.M., Yu, C.K.W., Ip, W.C.: Jump point detection for real estate investment success. Physica A: Statistical Mechanics and its Applications 389(5), 1055–1064 (2010)CrossRefGoogle Scholar
  11. 11.
    Hui, S., Zhi, Q.F., Ye, S.: Study of impact of real estate development and manage-ment risk on economic benefit. In: 16th International Conference on Industrial Engineering and Engineering Management, IE&EM 2009, pp. 1299–1303 (2009)Google Scholar
  12. 12.
    Hussain, O.K., Chang, E., Hussain, F.K., Dillon, T.S.: Quantifying the possible financial consequences of failure for making a risk based decision. In: 2nd International Conference on Internet Monitoring and Protection, pp. 40–46 (2007)Google Scholar
  13. 13.
    Hussain, O.K., Chang, E., Hussain, F.K., Dillon, T.S.: Quantifying failure of risk based decision making in digital business ecosystem interactions. In: 2nd International Conference on Internet and Web Applications and Services, Mauritius, pp. 49–56 (2007)Google Scholar
  14. 14.
    Jian, G.Z., Zhao, M.W., Xiu, X.: Recognizing the pattern of systematic risk based on financial ratios and rough set-neural network system. In: 2006 International Conference on Machine Learning and Cybernetics, pp. 2408–2412 (2006)Google Scholar
  15. 15.
    Jin, C.H.: The lifecycle comprehensive risk evaluation for real estate projects – Application. In: IEEE International Conference on Advanced Management Science (ICAMS), vol. 2, pp. 438–440 (2010)Google Scholar
  16. 16.
    Ju, Y.J., Meng, Q., Zhang, Q.: A study on risk evaluation of real estate project based on BP neural networks. In: International Conference on E-Business and Information System Security, EBISS 2009, pp. 1–4 (2009)Google Scholar
  17. 17.
    Juhong, G., Zihan, W.: Research on real estate supply chain risk identification and precaution using Scenario analysis method. In: 16th International Conference on Industrial Engineering and Engineering Management, IE&EM 2009, pp. 1279–1284 (2009)Google Scholar
  18. 18.
    Lee, J.S., Jang, S.: The systematic-risk determinants of the US airline industry. Tourism Management 28(2), 434–442 (2007)CrossRefGoogle Scholar
  19. 19.
    Li, J., Wang, J.F., Wu, C.Y., Yang, Y.T., Ji, Z.T., Wang, H.B.: Establishment of a risk assessment framework for analysis of the spread of highly pathogenic avian influenza. Agricultural Sciences in China 6(7), 877–881 (2007)CrossRefGoogle Scholar
  20. 20.
    Li, W., Zhao, Y., Meng, W., Xu, S.: Study on the risk prediction of real estate investment whole process based on support vector machine. In: 2nd International Workshop on Knowledge Discovery and Data Mining, WKDD 2009, pp. 167–170 (2009)Google Scholar
  21. 21.
    Li, Y., Huang, L.: Financial constraints and systematic risk: theory and evidence from China. In: 15th Annual International Conference on Management Science and Engineering, ICMSE 2008, pp. 1113–1119 (2008)Google Scholar
  22. 22.
    Li, Y., Suo, J.: Model on Risk Evaluation of Real Estate Investment. In: 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009, vol. 3, pp. 138–140 (2009)Google Scholar
  23. 23.
    Lin, H., Chen, X.P.: Is default risk a systematic risk of Chinese stock markets? In: 15th Annual International Conference on Management Science and Engineering, ICMSE 2008, pp. 1169–1174 (2008)Google Scholar
  24. 24.
    Lin, Y.H., Lee, P.C., Ting, H.I.: Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications 35(4), 1638–1644 (2008)CrossRefGoogle Scholar
  25. 25.
    Liow, K.H., Addae-Dapaah, K.: Idiosyncratic risk, market risk and correlation dynamics in the US real estate investment trusts. Journal of Housing Economics 19(3), 205–218 (2010)CrossRefGoogle Scholar
  26. 26.
    Liu, L., Zhao, E., Liu, Y.: Research into the risk analysis and decision-making of real estate projects. In: International Conference on Wireless Communications, Networking and Mobile Computing, WiCom 2007, pp. 4610–4613 (2007)Google Scholar
  27. 27.
    Lu, J., Zhang, G., Ruan, D., Wu, F.: Multi-objective group decision making: methods, software and applications, vol. 1. Imperial College Press, London (2007)zbMATHGoogle Scholar
  28. 28.
    Meng, Z.Q., Yu, X.F., Jiang, M., Gao, H.: Risk measure and control strategy of investment portfolio of real estate based on dynamic CVaR model. Systems Engineering - Theory & Practice 27(9), 69–76 (2007)CrossRefGoogle Scholar
  29. 29.
    Mora, M., Forgionne, G., Gupta, J.N.D., Garrido, L., Cervantes, F., Gelman, O.: A strategic descriptive review of the intelligent decision-making support systems research: the 1980–2004 period. In: Gupta, J.N.D., Forgionne, G.A., Mora, M.T. (eds.) ntelligent Decision-making Support Systems Foundations, Applications and Challenges, Part III, pp. 441–462 (2007)Google Scholar
  30. 30.
    Mustajoki, J., Hamalainen, R.P.: Smart-Swaps – a decision support system for multicriteria decision analysis with the even swaps method. Decision Support Systems 44(1), 313–325 (2007)CrossRefGoogle Scholar
  31. 31.
    Niu, L., Lu, J., Zhang, G.: Cognition-Driven Decision Support for Business Intelligence - Models, Techniques, Systems and Applications, 1st edn. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  32. 32.
    Olsson, R.: In search of opportunity management: is the risk management process enough? International Journal of Project Management 25(8), 745–752 (2007)CrossRefGoogle Scholar
  33. 33.
    Piyatrapoomi, N., Kumar, A., Setunge, S.: Framework for investment decision-making under risk and uncertainty for infrastructure asset management. Research in Transportation Economics 8, 199–214 (2004)CrossRefGoogle Scholar
  34. 34.
    Ren, H., Yang, X.: Risk measurement of real estate portfolio investment based on CVaR model. In: International Conference on Management and Service Science, MASS 2009, pp. 1–4 (2009)Google Scholar
  35. 35.
    Rocha, K., Salles, L., Garcia, F.A.A., Sardinha, J.A., Teixeira, J.P.: Real estate and real options – a case study. Emerging Markets Review 8(1), 67–79 (2007)CrossRefGoogle Scholar
  36. 36.
    Rui, S.L., Qi, Y.W., Jian, H.H., Li, G., Liang, L.: An intelligent decision support system applied to the investment of real estate. In: IEEE International Conference on Industrial Technology, ICIT 1996, pp. 801–805 (1996)Google Scholar
  37. 37.
    Saleem, K., Vaihekoski, M.: Pricing of global and local sources of risk in Russian stock market. Emerging Markets Review 9(1), 40–56 (2008)CrossRefGoogle Scholar
  38. 38.
    Shiwang, Y., Jianping, W., Na, G.: Application of project portfolio management in the real estate corporations. In: 16th International Conference on Industrial Engineering and Engineering Management, IE&EM 2009, pp. 1225–1228 (2009)Google Scholar
  39. 39.
    Shujing, Z., Shan, L.: Projection pursuit model based on PSO in the real estate risk evaluation. In: 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI, pp. 235–238 (2010)Google Scholar
  40. 40.
    Storesletten, K., Telmer, C.I., Yaron, A.: Asset pricing with idiosyncratic risk and overlapping generations. Review of Economic Dynamics 10(4), 519–548 (2007)CrossRefGoogle Scholar
  41. 41.
    Strong, R., Paasi, J., Ruoyi, Z., Luoma, T.: Systematic risk management for the innovative enterprise. In: 42nd Hawaii International Conference on System Sciences, HICSS 2009, pp. 1–9 (2009)Google Scholar
  42. 42.
    Sun, Y., Huang, R., Chen, D., Li, H.: Fuzzy set-based risk evaluation model for real estate projects. Tsinghua Science & Technology 13(S1), 158–164 (2008)CrossRefGoogle Scholar
  43. 43.
    Syalim, A., Hori, Y., Sakurai, K.: Comparison of risk analysis methods: Mehari, Magerit, NIST800-30 and Microsoft’s security management guide. In: International Conference on Availability, Reliability and Security, ARES 2009, vol. 5, pp. 726–731 (2009)Google Scholar
  44. 44.
    Tang, G.Y.N., Shum, W.C.: The relationships between unsystematic risk, skewness and stock returns during up and down markets. International Business Review 12(5), 523–541 (2003)CrossRefGoogle Scholar
  45. 45.
    Tao, L., Yajuan, L.: A risk early warning model in real estate market based on support vector machine. In: International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010, pp. 50–53 (2010)Google Scholar
  46. 46.
    Wang, K., Hsiao, T.P., Fu, H.C.: Using statistical and neural network methods to explore the relationship between systematic risk and firm’s long term investment activities. In: 2000 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing X, vol. 2, pp. 851–858 (2000)Google Scholar
  47. 47.
    Wanqing, L., Yong, Z., Wenqing, M., Shipeng, X.: Study on the risk prediction of real estate investment whole process based on support vector machine. In: 2nd International Workshop on Knowledge Discovery and Data Mining, WKDD 2009, pp. 167–170 (2009)Google Scholar
  48. 48.
    Williams, D.J., Noyes, J.M.: How does our perception of risk influence decision-making? Implications for the design of risk information. Theoretical Issues in Ergonomics Science 8(1), 1–35 (2007)CrossRefGoogle Scholar
  49. 49.
    Wong, K.P.: The effect of uncertainty on investment timing in a real options model. Journal of Economic Dynamics and Control 31(7), 2152–2167 (2007)MathSciNetzbMATHCrossRefGoogle Scholar
  50. 50.
    Wu, C., Guo, Y., Wang, D.: Study on capital risk assessment model of real estate enterprises based on support vector machines and fuzzy integral. In: Control and Decision Conference, CCDC 2008, pp. 2317–2320 (2008)Google Scholar
  51. 51.
    Wu, X.Y., Li, H.M., Niu, J.G., Liu, Z.Q.: Memetic algorithm for real estate portfo-lio based on risk preference coefficient. In: 16th International Conference on Industrial Engineering and Engineering Management, IE&EM 2009, pp. 1245–1249 (2009)Google Scholar
  52. 52.
    Xiaobing, Z., Haitao, L.: Extension evaluation on risks in earlier stage of real estate project. In: 16th International Conference on Industrial Engineering and Engineering Management, IE&EM 2009, pp. 1229–1233 (2009)Google Scholar
  53. 53.
    Xiaozhuang, Y.: Real estate financial risk prevention and countermeasure. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, pp. 1–4 (2008)Google Scholar
  54. 54.
    Xie, G., Yue, W., Wang, S., Lai, K.K.: Dynamic risk management in petroleum project investment based on a variable precision rough set model. In: Technological Forecasting and Social Change (2010) (in press, corrected proof)Google Scholar
  55. 55.
    Xiong, X., Xiao, T.Z., Wei, Z., Cui, Y.L.: Wavelet-based beta estimation of China stock market. In: International Conference on Machine Learning and Cybernetics, vol. 6, pp. 3501–3505 (2005)Google Scholar
  56. 56.
    Xiu, L.T., Guo, D.L.: A tentative study on risk estimation and evaluation of investment in real estate projects. In: 2009 International Conference on Machine Learning and Cybernetics, vol. 1, pp. 561–566 (2009)Google Scholar
  57. 57.
    Yu, J., Xuan, H.: Study of a practical method for real estate investment risk decision making. In: 2010 International Conference on Management and Service Science, pp. 1–4 (2010)Google Scholar
  58. 58.
    Zeng, J., An, M., Smith, N.J.: Application of a fuzzy based decision making methodology to construction project risk assessment. International Journal of Project Management 25(6), 589–600 (2007)CrossRefGoogle Scholar
  59. 59.
    Zhi, Q.M., Qing, B.M.: The research on risk evaluation of real estate development project based on RBF neural network. In: 2nd International Conference on Information and Computing Science, ICIC 2009, vol. 2, pp. 273–276 (2009)Google Scholar
  60. 60.
    Zhou, S., Wang, F., Li, Y.: Risk assessment of real estate investment. In: 2nd International Asia Conference on Informatics in Control, Automation and Robotics, vol. 1, pp. 412–414 (2010)Google Scholar
  61. 61.
    Zhou, S.J., Li, Y.C., Zhang, Z.D.: Self-adaptive ant algorithm for solving real estate portfolio optimization. In: International Symposium on Computational Intelligence and Design, ISCID 2008, vol. 1, pp. 241–244 (2008)Google Scholar
  62. 62.
    Zhou, S.J., Zhang, Z.D., Li, Y.C.: Research of real estate investment risk evaluation based on fuzzy data envelopment analysis method. In: International Conference on Risk Management & Engineering Management, ICRMEM 2008, pp. 444–448 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nur Atiqah Rochin Demong
    • 1
    • 2
  • Jie Lu
    • 1
  1. 1.Decision Systems & e-Service Intelligence (DeSI) Lab, Quantum Computation & Intelligent Systems (QCIS) Centre, Faculty of Engineering and Information TechnologyUniversity of Technology Sydney (UTS)Australia
  2. 2.Faculty of Office Management and TechnologyUniversiti Teknologi MARAPuncak AlamMalaysia

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