The impact of business outsourcing on corporate real estate in India

Driven by Western companies\u27 requirements for efficiency and effectiveness, a trend towards outsourcing of business activities to India and other low-cost countries commenced in the early 1990s and has continued to grow at a surprisingly fast pace. In a relatively short timeframe India has become a global hub for back-office services, although the effect on the urban cities is yet to be fully comprehended. As American and European companies continue to relocate their information technology services and other back office works to the subcontinent, there has been a considerable flow-on effect on Indian corporate real estate. This paper addresses two key questions. Firstly, the factors important for Western companies\u27 outsourcing of organisational activities to India, and secondly, the effect of business outsourcing on corporate real estate locational requirements in India. A survey of corporate real estate representatives in India and the UK was conducted with the results providing an insight into the present state and possible future direction of outsourcing for India. This research presents a unique insight into the impacts of Western business outsourcing on corporate real estate in India, and presents findings that are useful to both organisations seeking to relocate business activities to India and for property market analysts looking to understand drivers behind this sustained demand for Indian corporate real estate

The Role of Industry, Geography and Firm Heterogeneity in Credit Risk Diversification

In theory the potential for credit risk diversification for banks could be substantial. Portfolio diversification is driven broadly by two characteristics: the degree to which systematic risk factors are correlated with each other and the degree of dependence individual firms have to the different types of risk factors. We propose a model for exploring these dimensions of credit risk diversification: across industry sectors and across different countries or regions. We find that full firm-level parameter heterogeneity matters a great deal for capturing differences in simulated credit loss distributions. Imposing homogeneity results in overly skewed and fat-tailed loss distributions. These differences become more pronounced in the presence of systematic risk factor shocks: increased parameter heterogeneity greatly reduces shock sensitivity. Allowing for regional parameter heterogeneity seems to better approximate the loss distributions generated by the fully heterogeneous model than allowing just for industry heterogeneity. The regional model also exhibits less shock sensitivity