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Full-Text Articles in Social and Behavioral Sciences
Revealing The Vulnerability Of Urban Communities To Flood Hazard In Tanzania: A Case Of The Dar Es Salaam City Ecosystem, Herbert Hambati, Greg Gaston
Revealing The Vulnerability Of Urban Communities To Flood Hazard In Tanzania: A Case Of The Dar Es Salaam City Ecosystem, Herbert Hambati, Greg Gaston
International Journal of Geospatial and Environmental Research
Losses from environmental flood hazards have escalated in recent decades, prompting a reorientation of emergency management systems away from simple post event response. There is a noticeable change in policy, with more emphasis on loss reduction through mitigation, preparedness, and recovery projects and programs. Effective mitigation of losses from flood hazards requires hazard identification, an assessment of all the hazards likely to affect a given place and people, and risk-reduction measures that are compatible across a multitude of hazards. The degree to which populations are vulnerable to flood hazards, however, is not solely dependent upon proximity to the source of …
Recent Periods Of Financial Turbulence On The Russian Stock Market And Their Effect On Price Correlation And Value At Risk, Alexander Logoveev, Gregory Cherinko
Recent Periods Of Financial Turbulence On The Russian Stock Market And Their Effect On Price Correlation And Value At Risk, Alexander Logoveev, Gregory Cherinko
Undergraduate Economic Review
The aim of this article is to observe and analyze the recent periods of financial turbulence on the Russian stock market and determine their influence on the correlation coefficients between asset prices and the Value at Risk measure for a portfolio. Our task was to describe the previously observed phenomenon of correlation enlargement during times of financial crises deemed in our research as separate Black Swans. Based on up-to-date financial data analysis we determined correlation trends that can be useful in risk management and applied the Value at Risk method.
Helping A Microfinance Institution Select Its Clients: A Risk Analysis Using Social Networks, Sayantan Mitra, Varunavi Newar
Helping A Microfinance Institution Select Its Clients: A Risk Analysis Using Social Networks, Sayantan Mitra, Varunavi Newar
Black & Gold
This paper formulates an objective mathematical model for a Microfinance Institution (MFI) to measure the credit worthiness associated with a potential client. We use concepts from network theory to determine the credit worthiness of an individual in relation to other households in the community. We use the concept of eigenvector centrality to evaluate the relative credit worthiness in the network. The latter part of the model focuses on the absolute measures of credit worthiness such as income, ownership of assets and risk of the proposed investment. This model would help MFIs reduce the risk of borrowing by ensuring that there …