In Search of Land and Housing in the New South Africa

Brink, Rogier van den; DeGroot, Dave; Marrengane, Ntombini; Berrisford, Stephen; Kihato, Michael; Mhlanga, Zimkhitha

doi:10.1596/978-0-8213-7373-6

Cited by 5 publications

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Algerian Housing Policies

Djafri

Osman

Rabe

et al. 2019

ajE-Bs

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Despite being one of the richest countries in Africa, Algeria’s affordable housing is still out of reach for low and even middle-income Algerians. Nowadays, Algeria is still suffering from housing shortage in terms of quality, affordability and number of units. The paper describes the Algerian Housing Policies using qualitative method of semi-structured interviews. The findings revealed that new mechanisms need to be injected and the housing agencies structure need to adopt an effective local, regional and national policies to promote the housing sector in terms of its quality and adequacy to the Algerian society which certainly will improve the overall Algerian quality of life. Keywords: Housing policies; Housing quality; Algerian society; Quality of life eISSN 2514-751X © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/aje-bs.v4i13.349

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Algerian Housing Policies

Djafri

Osman

Rabe

et al. 2019

ajE-Bs

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Modeling Correlated Systemic Liquidity and Solvency Risks in a Financial Environment with Incomplete Information

Zabczyk

Barnhill²

2011

IMF Working Papers

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This paper proposes and demonstrates a methodology for modeling correlated systemic solvency and liquidity risks for a banking system. Using a forward looking simulation of many risk factors applied to detailed balance sheets for a 10 bank stylized United States banking system, we analyze correlated market and credit risk and estimate the probability that multiple banks will fail or experience liquidity runs simultaneously. Significant systemic risk factors are shown to include financial and economic environment regime shifts to stressful conditions, poor initial loan credit quality, loan portfolio sector and regional concentrations, bank creditors' sensitivity to and uncertainties regarding solvency risk, and inadequate capital. Systemic banking system solvency risk is driven by the correlated defaults of many borrowers, other market risks, and inter-bank defaults. Liquidity runs are modeled as a response to elevated solvency risk and uncertainties and are shown to increase correlated bank failures. Potential bank funding outflows and contractions in lending with significant real economic impacts are estimated. Increases in equity capital levels needed to reduce bank solvency and liquidity risk levels to a target confidence level are also estimated to range from 3 percent to 20 percent of assets. For a future environment that replicates the 1987-2006 volatilities and correlations, we find only a small risk of U.S. bank failures focused on thinly capitalized and regionally concentrated smaller banks. For the 2007-2010 financial environment calibration we find substantially elevated solvency and liquidity risks for all banks and the banking system.

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Next Generation System-Wide Liquidity Stress Testing

Puhr¹,

Santos²,

Schmieder³

et al. 2012

IMF Working Papers

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This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF/OeNB or IMF/OeNB policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. A framework to run system-wide, balance sheet data-based liquidity stress tests is presented. The liquidity framework includes three elements: (a) a module to simulate the impact of bank run scenarios; (b) a module to assess risks arising from maturity transformation and rollover risks, implemented either in a simplified manner or as a fully-fledged cash flow-based approach; and (c) a framework to link liquidity and solvency risks. The framework also allows the simulation of how banks cope with upcoming regulatory changes (Basel III), and accommodates differences in data availability. A case study shows the impact of a "Lehman" type event for stylized banks.

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In Search of Land and Housing in the New South Africa

Cited by 5 publications

References 0 publications

Algerian Housing Policies

Algerian Housing Policies

Modeling Correlated Systemic Liquidity and Solvency Risks in a Financial Environment with Incomplete Information

Next Generation System-Wide Liquidity Stress Testing

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