Building a real-estate investment portfolio optimisation model using geospatial diversification and location analytics (Softcopy is also available)
Purkayastha, Sabyasachi (PT201117)
Building a real-estate investment portfolio optimisation model using geospatial diversification and location analytics (Softcopy is also available) - 2019 - iii,ix,112p.
Certificate of Original Authorship i
Certificate of Dissertation - Advisor’s consent iii
Certificate of Dissertation - Program Chair v
Acknowledgments vii
Abstract ix
List of figures xi
List of tables xiv
1 LITERATURE REVIEW 1
1.1 Real estate portfolio diversification by property type and region by Piet
M.A. Eichholtz, Martin Hoesli, Bryan D. MacGregor and Nanda Nanthakumaran .. 1
1.2 Predicting gentrification using longitudinal census data and median house
value By Ken Steif, Alan Mallach, Michael Fichman, Simon Kassel 3
1.3 Spatio-temporal Analysis of The Real Estate Market Using Geographic
Information Systems* by Piotr Cichociński, & Janusz Dąbrowski 5
1.4 GIS Application in Real Estate Investment by Andrea Podor, University of
West Hungary, Faculty of Geoinformatics Judit Nyiri, University of West Hungary,
Faculty of Geoinformatics 7
1.5 Spatial Autoregression Techniques for Real Estate Data by Robin Dubin,
R. Kelley Pace and Thomas G. Thibodeau 8
2 SCOPE & OBJECTIVES 11
2.1 Objectives 11
2.2 Scope of study 11
3 METHODOLOGY 14
3.1 Introduction 14
3.2 Data collection and processing 15
3.3 Weighted criterion: Location Intelligence Score 17
3.4 Intermediate Correlation Matrix Scorer 18
3.5 Quadratic Polynomial Solver for the optimal allocation 19
4 ANALYSIS 21
4.1 Location Score 21
4.2 Endogenous Gentrification Score: 38
4.3 Selection of final subset of locations 43
4.4 Portfolio Optimization 45
5 CONCLUSION 52
5.1 Limitations of the study and designed workflow 52
5.2 Way Forward 52
5.3 Conclusions 52
References lv
Appendix 1: XYZ lvii
Appendix 2: XYZ 59
Plagiarism Report Copy 60
MG TH-0180 / PUR
Building a real-estate investment portfolio optimisation model using geospatial diversification and location analytics (Softcopy is also available) - 2019 - iii,ix,112p.
Certificate of Original Authorship i
Certificate of Dissertation - Advisor’s consent iii
Certificate of Dissertation - Program Chair v
Acknowledgments vii
Abstract ix
List of figures xi
List of tables xiv
1 LITERATURE REVIEW 1
1.1 Real estate portfolio diversification by property type and region by Piet
M.A. Eichholtz, Martin Hoesli, Bryan D. MacGregor and Nanda Nanthakumaran .. 1
1.2 Predicting gentrification using longitudinal census data and median house
value By Ken Steif, Alan Mallach, Michael Fichman, Simon Kassel 3
1.3 Spatio-temporal Analysis of The Real Estate Market Using Geographic
Information Systems* by Piotr Cichociński, & Janusz Dąbrowski 5
1.4 GIS Application in Real Estate Investment by Andrea Podor, University of
West Hungary, Faculty of Geoinformatics Judit Nyiri, University of West Hungary,
Faculty of Geoinformatics 7
1.5 Spatial Autoregression Techniques for Real Estate Data by Robin Dubin,
R. Kelley Pace and Thomas G. Thibodeau 8
2 SCOPE & OBJECTIVES 11
2.1 Objectives 11
2.2 Scope of study 11
3 METHODOLOGY 14
3.1 Introduction 14
3.2 Data collection and processing 15
3.3 Weighted criterion: Location Intelligence Score 17
3.4 Intermediate Correlation Matrix Scorer 18
3.5 Quadratic Polynomial Solver for the optimal allocation 19
4 ANALYSIS 21
4.1 Location Score 21
4.2 Endogenous Gentrification Score: 38
4.3 Selection of final subset of locations 43
4.4 Portfolio Optimization 45
5 CONCLUSION 52
5.1 Limitations of the study and designed workflow 52
5.2 Way Forward 52
5.3 Conclusions 52
References lv
Appendix 1: XYZ lvii
Appendix 2: XYZ 59
Plagiarism Report Copy 60
MG TH-0180 / PUR