Pricing mortgage insurance contracts under housing price cycles with jump risk: evidence from the U.K. housing market

Previous studies have investigated the determinants of housing price cycles in the housing market; however, we observed the phenomenon of housing price jumps in the 2007 subprime crisis. This paper presents a discussion on the housing price cycle and abnormal price jumps to describe the behavior of housing prices in the United Kingdom. The empirical results show that the impact factors of housing cycles are market risk and the switching factor. Furthermore, the impact factors of jump risks include the bursting of the housing bubble and financial crises. Therefore, in this paper, we employ the Markov switching model with jump risks to value the MI contracts and analyze the influences of housing price cycles, jump risks, risks of market interest rate, and the prepayment risks on MI premiums. The results of sensitivity analysis show that more volatile housing price index returns, as well as longer periods of higher volatility in housing prices, raise MI premiums. Moreover, the MI premium is positively related to the absolute value of the average jump amplitude and the shock frequency of abnormal events. There is the tradeoff between the market interest rate and the prepayment risk. The influences of market interest rate are different on MI premium with/without prepayment risks.     

The politics of urban climate risks: theoretical and empirical lessons from Ulrich Beck’s methodological cosmopolitanism

Abstract

In the face of global climate risks, world cities increasingly figure in academic and policy discourse as strategic spaces for harnessing the expertise and governance capacity needed to steer societies toward more sustainable and low-carbon futures. This article reviews existing approaches to the study of urban climate politics, by way of asking what contribution Ulrich Beck’s theory of world risk society – and principles of methodological cosmopolitanism – make to such epochal conversations? Three main analytical frameworks stand out: low-carbon transition literature highlight generic processes of socio-technical ‘greening’ of urban infrastructures; urban policy mobility work documents growing intercity networks around climate and sustainability; and actor–network theory-informed takes on urban controversies engage the localized politics of specific city-based ‘riskscapes’. While each framework makes valuable contributions, this article suggests that all of them remain under-theorized from the point of view of the specific dynamics of local–global interdependencies in urban climate risk politics. In response, the article draws on Beck in outlining the contours of new urban–cosmopolitan risk communities. To this effect, empirical studies into large-scale East Asian and European port cities is used to illustrate how a shared transnational risk imaginary (e.g. of future sea-level rises) may help spur collective action and new forms of trans-boundary solidarity. Reflecting on such research practices, the article ends by pointing to the need for reworking methods of (multi-sited) ethnography and comparison as central parts of realizing Ulrich Beck’s cosmopolitan sociology in the domain of urban climate risks.     

Systemic event prediction by an aggregate early warning system: An application to the Czech Republic

This work develops an early warning framework for assessing systemic risks and predicting systemic events over a short horizon of six quarters and a long horizon of 12 quarters on a panel of 14 countries, both advanced and developing. First, we build a financial stress index to identify the starting dates of systemic financial crises for each country in the panel. Second, early warning indicators for the assessment and prediction of systemic risk are selected in a two-step approach; we find relevant prediction horizons for each indicator by a univariate logit model followed by the application of Bayesian model averaging to identify the most useful indicators. Finally, we observe the performance of the constructed EWS over both horizons on the Czech data and find that the model over the long horizon outperforms the EWS over the short horizon. For both horizons, out-of-sample probability estimates do not deviate substantially from their in-sample estimates, indicating a good out-of-sample performance for the Czech Republic.     

EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

The “Six Ws” of sustainable development risks

Risk management in an organization represents a decisive function in seizing opportunities and managing the risks that can affect a business's reputation, prosperity, growth, value creation, stakeholder engagement, long-term survival, and a firm's contribution to sustainable development. For this paper, we conduct a systematic literature review of 148 indexed studies and uses the “Six Ws” (what, who, why, where, when, and how) approach to understand the linkages between sustainability and risk management. This study's findings reveal that the management of environmental, social, and governance (ESG) concerns plays a mitigation's function on business risks.     

华北油田冀中电网输配电线路存在的主要问题及应对措施

本文论述了华北油田冀中电网输电线路存在的老化、线路下方违章建筑物、树木顶线、杆塔缺土、施工车辆、挖掘机、吊车误碰导线跳闸等情况,并提出了应对措施。     

斯里兰卡中资项目机遇与风险分析

近年来,中资企业在斯里兰卡承接及投资项目日益增多。中斯合作关系密切,发展潜力巨大。中资项目在斯机遇和挑战并存,文章分析中资项目在斯里兰卡的风险点,并对重点投资潜力行业及区域提出建议。     

Measuring systemic risk-adjusted liquidity (SRL)—A model approach

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.     

Systemic risk and dynamics of contagion: a duplex inter-bank network

This paper constructs a duplex banking network formed by credit relationships and information interaction via the banks’ balance sheet to model the structure of systemic risk and investigate the dynamic mechanism of contagion in terms of default and liquidity infection along with the factors that affect the extent of the contagion. We systematically explain the role that duplex banking networks play in different aspects of risk contagion. Through theoretical analysis and simulations, we conclude that asymmetric information interaction would increase the inflexibility of the system, which leads to liquidity shortage and possibly the collapse of the whole market. The weakness of systemic risk in the interior of the complex banking system can be characterized by the partial discount factor using illiquid assets in the information network. By improving the connectedness of the information network of the duplex networks, the spread of contagion can be partially slowed.