FIU Environmental Finance Publications

Villamor, E. (2022, April 22). Estimating default probabilities using PDEs and some applications. Florida International University, Miami, FL.

Villamor, E. (2022, May 5). Using Partial Differential Equations (PDEs) to price financial instruments to manage climate risk. Florida International University, Miami, FL.

Troxler, T. G., Clement, A. C., Arditi-Rocha, Y., Beesing, G., Bhat, M., Bolson, J., ... & Wheaton, E. (2021). A System for Resilience Learning: Developing a Community-Driven, Multi-Sector Research Approach for Greater Preparedness and Resilience to Long-Term Climate Stressors and Extreme Events in the Miami Metropolitan Region. Journal of Extreme Events, 2150019. 

Islam, M. N., & Wheatley, C. M. (2021). Impact of Climate Risk on Firms’ Use of Trade Credit: International Evidence. The International Trade Journal, 35(1), 40-59.

Feng, Z., & Wu, Z. (2021). ESG disclosure, REIT debt financing and firm value. The Journal of Real Estate Finance and Economics, 1-35.

Gajewski, K., Ferrando, S., & Olivares, P. (2020). Pricing Energy Contracts under Regime Switching Time-Changed models. arXiv preprint arXiv:2005.14361.

Ghanbari, M., Arabi, M., & Obeysekera, J. (2020). Chronic and acute coastal flood risks to assets and communities in Southeast Florida. Journal of Water Resources Planning and Management, 146(7), 04020049. 

Gulati, S., George, F., Kibria, B.G., Pinelli, J.P., Cocke, S. and Hamid, S. (2020). January. Analysis of Extremes for Hurricane Wind Speeds and Residential Losses. In 100th American Meteorological Society Annual Meeting. AMS

Olivares, P. (2020). Pricing Temperature Derivatives under a Time-Changed Levy Model. arXiv preprint arXiv:2005.14350.

Song, J. H., Her, Y., Shin, S., Cho, J., Paudel, R., Khare, Y. P., ... & Martinez, C. J. (2020). Evaluating the performance of climate models in reproducing the hydrological characteristics of rainfall events. Hydrological Sciences Journal, 65(9), 1490-1511.

Villamor, E. and Olivares, P. (2020). Pricing Exchange Options under Stochastic Correlation. arXiv preprint arXiv:2001.03967.

de Bruijn, K. M., Maran, C., Zygnerski, M., Jurado, J., Burzel, A., Jeuken, C., & Obeysekera, J. (2019). Flood resilience of critical infrastructure: Approach and method applied to Fort Lauderdale, Florida. Water, 11(3), 517.

Ghanbari, M., Arabi, M., Obeysekera, J., & Sweet, W. (2019). A coherent statistical model for coastal flood frequency analysis under nonstationary sea level conditions. Earth's Future, 7(2), 162-177.

Hall, J. A., Weaver, C. P., Obeysekera, J., Crowell, M., Horton, R. M., Kopp, R. E., ... & White, K. D. (2019). Rising sea levels: Helping decision-makers confront the inevitable. Coastal Management, 47(2), 127-150.

Scanlon, N.L. (2019). Miami, Florida: A Destination Study of Climate Change Impacts on Tourism.  In 9th Advances in Hospitality and Tourism Marketing and Management Conference (p. 160)

Czajkowski, J., Engel, V., Martinez, C., Mirchi, A., Watkins, D., Sukop, M. C., & Hughes, J. D. (2018). Economic impacts of urban flooding in South Florida: Potential consequences of managing groundwater to prevent salt water intrusion. Science of the Total Environment, 621, 465-478.

Brown, C. E., Bhat, M. G., Rehage, J. S., Mirchi, A., Boucek, R., Engel, V., ... & Sukop, M. (2018). Ecological-economic assessment of the effects of freshwater flow in the Florida Everglades on recreational fisheries. Science of the Total Environment, 627, 480-493.

Mirchi, A., Watkins, D. W., Engel, V., Sukop, M. C., Czajkowski, J., Bhat, M., ... & Weisskoff, R. (2018). A hydro-economic model of South Florida water resources system. Science of the Total Environment, 628, 1531-1541.

Salas, J. D., Obeysekera, J., & Vogel, R. M. (2018). Techniques for assessing water infrastructure for nonstationary extreme events: A review. Hydrological Sciences Journal, 63(3), 325-352.

Sealey, K.S., Binder, P.M. and Burch, R.K. (2018). Financial credit drives urban land-use change in the United States. Anthropocene, 21, pp.42-51.

Sealey, K.S., Burch, R.K. and Binder, P.M. (2018). Will Miami Survive?: The Dynamic Interplay Between Floods and Finance. Basel, Switzerland: Springer International Publishing.

Sweet, William V., Dusek, J., Obeysekera, J., and Marra, J.J. (2018).:  Patterns and Projections of High Tide Flooding along the U.S Coastline using a Common Impact Threshold.  NOAA Technical Report NOS CO-OPS 086.  Center for Operational Oceanographic Products and Services, National Ocean Service  National Oceanic and Atmospheric Administration, U.S. Department of Commerce, February 2018.

Gulati, S., George, F., Golam Kibria, B.M., Hamid, S., Cocke, S. and Pinelli, J.P. (2017). Probable maximum loss for the Florida public hurricane loss model: comparison. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(4), p.04017009. 

Olivares, P. and Villamor, E. (2017). Valuing exchange options under an Ornstein-Uhlenbeck covariance model. arXiv preprint arXiv:1711.10013.

Oxenyuk, V., Gulati, S., Kibria, B.M. and Hamid, S., (2017). Distribution fits for various parameters in the Florida Public Hurricane Loss model. Journal of Modern Applied Statistical Methods, 16(1), p.27.

Hall, J. A., Gill, S., Obeysekera, J., Sweet, W., Knuuti, K., & Marburger, J. (2016). Regional sea level scenarios for coastal risk management: Managing the uncertainty of future sea level change and extreme water levels for Department of Defense coastal sites worldwide. STRATEGIC ENVIRONMENTAL RESEARCH AND DEVELOPMENT PROGRAM ALEXANDRIA VA ALEXANDRIA United States.

Obeysekera, J., & Salas, J. D. (2016). Frequency of recurrent extremes under nonstationarity. Journal of Hydrologic Engineering, 21(5), 04016005.

Sarmiento, J.P., Hoberman, G., Jerath, M. and Ferreira Jordao, G. (2016). Disaster risk management and business education: The case of small and medium enterprises. AD-minister, (28), pp.73-90.

Sarmiento, J.P. (2016). Disaster Risk Management In Business Education: Setting The Tone. AD-minister, (28), pp.07-32.

Yan, Y., Pouyanfar, S., Tian, H., Guan, S., Ha, H.Y., Chen, S.C., Shyu, M.L. and Hamid, S. (2016). July. Domain knowledge assisted data processing for florida public hurricane loss model. In 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI) (pp. 441-447). IEEE.

Villamor, E., & Olivares, P. (2016). A New Version of the Central Limit Theorem. African Diaspora Journal of Mathematics. New Series, 19(1), 12-20.

Olivares, P, Klyueva, K., Villamor, E. (2015). Pricing Basket Options by Polynomial Approximations under Levy Processes, Proceedings of Stochastics and Computational Finance.  

Yang, Y., Lopez, D., Tian, H., Pouyanfar, S., Fleites, F.C., Chen, S.C. and Hamid, S. (2015). February. Integrated execution framework for catastrophe modeling. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) (pp. 201-207). IEEE.

Garcia, R., Machado, D., Ha, H.Y., Yang, Y., Chen, S.C. and Hamid, S. (2014). October. A web-based task-tracking collaboration system for the Florida Public Hurricane Loss Model. In 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (pp. 304-311). IEEE.

Gulati, S., George, F., Yang, F., Kibria, B.M. and Hamid, S. (2014). Estimating Extreme Losses for the Florida Public Hurricane Model. Sri Lankan Journal of Applied Statistics, 5(4).

Hauptmann, J., Olivares, P., & Zagst, R. (2014). Estimation of risk measures for large credit portfolios. Journal of Credit Risk, 10(2).

Mai, J. F., Olivares, P., Schenk, S., & Scherer, M. (2014). A multivariate default model with spread and event risk. Applied Mathematical Finance, 21(1), 51-83.

Salas, J. D., & Obeysekera, J. (2014). Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events. Journal of Hydrologic Engineering, 19(3), 554-568.

Alvarez, A., Ferrando, S., & Olivares, P. (2013). Arbitrage and hedging in a non probabilistic framework. Mathematics and Financial Economics, 7(1), 1-28.

Escobar, M., & Olivares, P. (2013). Pricing of mountain range derivatives under a principal component stochastic volatility model. Applied Stochastic Models in Business and Industry, 29(1), 31-44.

Obeysekera, J., & Park, J. (2013). Scenario-based projection of extreme sea levels. Journal of Coastal Research, 29(1), 1-7. 

Pita, G.L., Pinelli, J.P., Gurley, K.R. and Hamid, S. (2013). Hurricane vulnerability modeling: Development and future trends. Journal of Wind Engineering and Industrial Aerodynamics, 114, pp.96-105.

Flugman, E., Mozumder, P. and Randhir, T. (2012). Facilitating adaptation to global climate change: perspectives from experts and decision makers serving the Florida Keys. Climatic change, 112(3), pp.1015-1035. 

Rahier, J. (2012). Tourism and Sustainable Development: Lessons from the Caribbean Experience for Sub-Saharan Africa.

Parris, A., P. Bromirski, V. Burkett, D. Cayan, M. Culver, J. Hall, R. Horton, K. Knuuti, R. Moss, J. Obeysekera, A. Sallenger, and J. Weiss. (2012). Global Sea Level Rise Scenarios for the US National Climate Assessment. NOAA Tech Memo OAR CPO-1. 37 pp. 20

Alvarez, A., Escobar, M., & Olivares, P. (2011). Pricing two dimensional derivatives under stochastic correlation. International Journal of Financial Markets and Derivatives, 2(4), 265-287.

Ennio, A. P., & Olivares, P. (2011). A Switching Threshold Model for Oil Prices. Systems Engineering Procedia, 1, 490-498.

Escobar, M., & Olivares, P. (2011). Risk management under a factor stochastic volatility model. Asia-Pacific Journal of Operational Research, 28(01), 65-80.

Jagger, T.H., Elsner, J.B. and Burch, R.K. (2011). Climate and solar signals in property damage losses from hurricanes affecting the United States. Natural Hazards, 58(1), pp.541-557.

Hamid, S., Kibria, B.G., Gulati, S., Powell, M., Annane, B., Cocke, S., Pinelli, J.P., Gurley, K. and Chen, S.C. (2010). Predicting losses of residential structures in the state of Florida by the public hurricane loss evaluation model. Statistical methodology, 7(5), pp.552-573.

Jagger, T.H., Elsner, J.B. and Burch, R.K. (2010).  Environmental signals in property damage losses from hurricanes. In Hurricanes and climate change (pp. 101-119). Springer, Dordrecht.

Olivares, P., Escobar, M., Alvarez, A., & Seco, L. (2010). Multivariate stochastic covariance models and applications to pricing and risk management. Journal of Financial Decision Making, 6(2).

Elsner, J.B., Burch, R.K. and Jagger, T.H. (2009). Catastrophe finance: An emerging discipline. Eos, Transactions American Geophysical Union, 90(33), pp.281-282.

Periera, E. (2005). How do tourist guides add value to an ecotour? Interpreting interpretation in the State of Amazonas, Brazil. Hospitality Review, 23(2), p.1.

Powell, M., Soukup, G., Cocke, S., Gulati, S., Morisseau-Leroy, N., Hamid, S., Dorst, N. and Axe, L. (2005). State of Florida hurricane loss projection model: Atmospheric science component. Journal of wind engineering and industrial aerodynamics, 93(8), pp.651-674.

Pinelli, J.P., Simiu, E., Gurley, K., Subramanian, C., Zhang, L., Cope, A., Filliben, J.J. and Hamid, S. (2004). Hurricane damage prediction model for residential structures. Journal of Structural Engineering, 130(11), pp.1685-1691.