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1.
The main tools and concepts of financial and actuarial theory are designed to handle standard, or even small risks. The aim of this paper is to reconsider some selected financial problems, in a setup including infrequent extreme risks. We first consider investors maximizing the expected utility function of their future wealth, and we establish the necessary and sufficient conditions on the utility function to ensure the existence of a non degenerate demand for assets with extreme risks. This new class of utility functions, called LIRA, does not contain the classical HARA and CARA utility functions, which are not adequate in this framework. Then we discuss the corresponding asset supply-demand equilibrium model.  相似文献   

2.
潘敏  刘红艳  程子帅 《金融研究》2022,508(10):39-57
深化对气候相关金融风险的认识,对于促进绿色低碳发展,防范系统性金融风险具有重要意义。本文以2004—2018年期间281家中国地方性商业银行为样本,实证检验了极端气候对银行风险承担的影响及其机制。研究发现,极端强降水气候显著提升了银行风险承担,极端高温和极端低温气候对银行风险承担不存在明显影响。极端强降水主要通过给银行信贷主体带来经济损失,影响违约概率和银行信贷资产质量,进而影响银行风险承担水平;提高灾前的保险保障水平、强化碳减排机制以及确保银行资本的充足性均有利于弱化极端气候对银行风险承担的影响;相较于以地级和省会城市工商业和居民为主要服务对象的地方性商业银行,极端强降水对以“三农”为主要服务对象的县域地方性商业银行风险承担的影响更大。因此,提升商业银行应对极端气候风险意识,提高气候灾害保险保障水平,强化碳减排机制和银行资本充足管理,均有利于降低极端气候对银行风险的影响。  相似文献   

3.
金融全球化进程中金融风险的防范与化解(英文)   总被引:1,自引:0,他引:1  
季潇然 《中国外资》2011,(16):64-64
在全球金融化的进程中,金融活动在全球范围内得到扩展和深化,同时每个金融主体也面临着不同程度的风险,很多因素都可能加强金融风险,其中包括人为因素和系统因素。而包括中国在内的发展中国家在抵御可能的风险方面能力较弱,所以我们更加需要采取正确并积极的方式来抵御金融风险。  相似文献   

4.
In this paper, we examine the relationship between sleep and financial risk taking. The results indicate that individuals who have better sleep display less distortion of probability, are less susceptible to the present bias, and have a lower discounting rate. Specifically, individuals with better self‐reported sleep quality have less distortion of probability, a more curved utility function, and are less loss averse, while those with fewer sleep disturbances display less probability distortion and have more curvature in their utility function. Overall, the results show that there are cognitive deficits in financial decision making by having poor sleep habits that can have important consequences.  相似文献   

5.
2008年次贷危机至今,全球宏观审慎监管框架始终着眼于防范传统金融机构的系统性风险,却忽视了新兴的全球稳定币及其所引发的支付方式变革。全球稳定币诱发系统性风险的路径不仅包括因为替代法币支付功能从而加剧金融功能的脆弱性,还包括加深金融结构集中度与金融网络复杂性。同时,全球稳定币给既有的"宏观审慎监管"框架造成监管信息滞后、监测制度缺位、货币政策失灵以及监管机制碎片化等诸多监管挑战。因此,重塑功能监管的监管理念,创新Regtech监管手段,革新传统监管政策,并推进合作主义规制,是当前金融监管层有效防范全球稳定币系统性风险的必要举措。我国也应积极参与构建全球稳定币的监管机制,制定或完善国内的相关监管政策,以守住不发生系统性风险的底线。  相似文献   

6.

We introduce an expected utility approach to price insurance risks in a dynamic financial market setting. The valuation method is based on comparing the maximal expected utility functions with and without incorporating the insurance product, as in the classical principle of equivalent utility. The pricing mechanism relies heavily on risk preferences and yields two reservation prices - one each for the underwriter and buyer of the contract. The framework is rather general and applies to a number of applications that we extensively analyze.  相似文献   

7.
Using the CAViaR tool to estimate the value-at-risk (VaR) and the Granger causality risk test to quantify extreme risk spillovers, we propose an extreme risk spillover network for analysing the interconnectedness across financial institutions. We construct extreme risk spillover networks at 1% and 5% risk levels (which we denote 1% and 5% VaR networks) based on the daily returns of 84 publicly listed financial institutions from four sectors—banks, diversified financials, insurance and real estate—during the period 2006–2015. We find that extreme risk spillover networks have a time-lag effect. Both the static and dynamic networks show that on average the real estate and bank sectors are net senders of extreme risk spillovers and the insurance and diversified financials sectors are net recipients, which coheres with the evidence from the recent global financial crisis. The networks during the 2008–2009 financial crisis and the European sovereign debt crisis exhibited distinctive topological features that differed from those in tranquil periods. Our approach supplies new information on the interconnectedness across financial agents that will prove valuable not only to investors and hedge fund managers, but also to regulators and policy-makers.  相似文献   

8.
Risk contagion has attracted increasing research attention in recent years. In this paper, we combined conditional Value at Risk (CVaR), Bayesian quantile regression and Granger causality test to propose a Bayesian CVaR–Granger causality test method, which is an efficient tool in analyzing sources of extreme risks in a financial market. Using this method, we determined the sources of extreme risks in major stock markets in China.  相似文献   

9.
Under Yaari's dual theory of risk, we determine the equilibrium separating contracts for high and low risks in a competitive insurance market, in which risks are defined only by their expected losses, that is, a high risk is a risk that has a greater expected loss than a low risk. Also, we determine the pooling equilibrium contract when insurers are assumed non-myopic. Expected utility theory generally predicts that optimal insurance indemnity payments are nonlinear functions of the underlying loss due to the nonlinearity of agents' utility functions. Under Yaari's dual theory, we show that under mild technical conditions the indemnity payment is a piecewise linear function of the loss, a common property of insurance coverages.  相似文献   

10.
We propose multilayer networks in the frequency domain, including the short-term, medium-term, and long-term layers, to investigate the extreme risk connectedness among financial institutions. Using the conditional autoregressive value at risk (CAViaR) tool to measure the extreme risk of financial institutions, we construct extreme risk networks and inter-sector extreme risk networks of 36 Chinese financial institutions through the proposed approach. We observe that the extreme risk connectedness across financial institutions is heterogeneous in the short-, medium-, and long-term. In general, the long-term connectedness among financial institutions rises sharply during times of financial stress, such as the 2015 Chinese stock market turbulence and the 2020 COVID-19 pandemic. Moreover, we note that the insurers are key players in driving the inter-sector extreme risk networks, because the inter-sector systemic importance of insurance institutions is dominant. Finally, our conclusions provide valuable information for regulators to prevent systemic risk.  相似文献   

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