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Portfolio Risk (portfolio + risk)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	83%

Distribution within Business, Economics, Finance and Accounting

General & Introductory Finance & Investments	60%
General & Introductory Economics	39%

Selected Abstracts

Downturn Credit Portfolio Risk, Regulatory Capital and Prudential Incentives,

INTERNATIONAL REVIEW OF FINANCE, Issue 2 2010
DANIEL RÖSCH
ABSTRACT This paper analyzes the level and cyclicality of bank capital requirement in relation to (i) the model methodologies through-the-cycle and point-in-time, (ii) four distinct downturn loss rate given default concepts, and (iii) US corporate and mortgage loans. The major finding is that less accurate models may lead to a lower bank capital requirement for real estate loans. In other words, the current capital regulations may not support the development of credit portfolio risk measurement models as these would lead to higher capital requirements and hence lower lending volumes. The finding explains why risk measurement techniques in real estate lending may be less developed than in other credit risk instruments. In addition, various policy recommendations for prudential regulators are made. [source]

Portfolio risk and self-directed retirement saving programmes*

THE ECONOMIC JOURNAL, Issue 494 2004
James M. Poterba
Defined contribution retirement plans expose retirement savers to financial market risks. This paper explores the costs of retirement wealth risk. It begins by describing the holding of company stock in 401(k) plans in the US, an investment choice that yields a poorly diversified retirement portfolio. It then summarises the composition of household wealth at retirement and investigates how the degree of diversification in retirement assets affects expected utility. The cost of holding a poorly diversified retirement portfolio is very sensitive to whether or not the retirement saver has other assets that provide a floor for retirement consumption. [source]

Risk reduction and real estate portfolio size

MANAGERIAL AND DECISION ECONOMICS, Issue 7 2001
Peter J. Byrne
There is remarkably little empirical evidence of the advantages of increased size on risk levels in real estate portfolios based on actual portfolios. This paper improves this by examining the portfolio risk of a large sample of actual real estate data in the UK over the period from 1981 to 1996. The results show that real estate portfolios of larger sizes tend, on average, to have lower risks than smaller sized portfolios and, more importantly, that portfolios with only a few assets can have very high or very low risk. For fund managers to be confident that their portfolio will have a risk level like the average, they need to hold portfolios of a considerably greater size than they might expect, or can sensibly acquire. Previous studies suggesting that only 20,40 properties are needed to reduce the risk of a property portfolio down to the market level are a significant underestimate. The actual figure is likely to be 400,500 properties, well above that of even the largest fund in the UK. Size alone does not necessarily lead to a reduction in portfolio risk. Other factors are of greater importance. Copyright © 2001 John Wiley & Sons, Ltd. [source]

COMPETITIVE ISSUES IN THE TAIWANESE BANKING INDUSTRY: MERGERS AND UNIVERSAL BANKS

THE DEVELOPING ECONOMIES, Issue 3 2003
Peiyi YU
This paper investigates scale economies and scope economies in the Taiwanese banking system, looking beyond the market-power (MP) and efficient-structure (ES) hypotheses. Given the existence of overall economies of scale and the positive value of expansion path sub-additivity, we conclude that there might be large increases in profits following mergers. Moreover, since the profit-structure relationship after financial reform is determined by the relative-market-power hypothesis, this consolidation trend will not necessarily decrease the social benefit for Taiwanese consumers. With regard to scope economies and product-specific economies of scale, we are unable to recommend whether Taiwanese banks should develop as specialized banks or diversified banks in the future. Finally, we find that risk indicators play an important role in explaining the observed variation in bank profitability, and present evidence that default risk and leverage risk have negative effects on the profits of banking, although the effect of portfolio risk is uncertain. [source]

SYMMETRIC VERSUS ASYMMETRIC CONDITIONAL COVARIANCE FORECASTS: DOES IT PAY TO SWITCH?

THE JOURNAL OF FINANCIAL RESEARCH, Issue 3 2007
Susan Thorp
Abstract Volatilities and correlations for equity markets rise more after negative returns shocks than after positive shocks. Allowing for these asymmetries in covariance forecasts decreases mean-variance portfolio risk and improves investor welfare. We compute optimal weights for international equity portfolios using predictions from asymmetric covariance forecasting models and a spectrum of expected returns. Investors who are moderately risk averse, have longer rebalancing horizons, and hold U.S. equities benefit most and may be willing to pay around 100 basis points annually to switch from symmetric to asymmetric forecasts. Accounting for asymmetry in both variances and correlations significantly lowers realized portfolio risk. [source]

A Markov regime switching approach for hedging stock indices

THE JOURNAL OF FUTURES MARKETS, Issue 7 2004
Amir Alizadeh
In this paper we describe a new approach for determining time-varying minimum variance hedge ratio in stock index futures markets by using Markov Regime Switching (MRS) models. The rationale behind the use of these models stems from the fact that the dynamic relationship between spot and futures returns may be characterized by regime shifts, which, in turn, suggests that by allowing the hedge ratio to be dependent upon the "state of the market," one may obtain more efficient hedge ratios and hence, superior hedging performance compared to other methods in the literature. The performance of the MRS hedge ratios is compared to that of alternative models such as GARCH, Error Correction and OLS in the FTSE 100 and S&P 500 markets. In and out-of-sample tests indicate that MRS hedge ratios outperform the other models in reducing portfolio risk in the FTSE 100 market. In the S&P 500 market the MRS model outperforms the other hedging strategies only within sample. Overall, the results indicate that by using MRS models market agents may be able to increase the performance of their hedges, measured in terms of variance reduction and increase in their utility. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:649,674, 2004 [source]