Failure to learn from failure: The 2008 mortgage crisis as a déjà vu of the mortgage meltdown of 1994

This article traces the developments in the market for residential mortgage-backed securities (MBS) during the period 1970–2008. Drawing on an analysis of trade publications, business press, and interviews with practitioners, it shows that an MBS market meltdown in 1994 provided clear signals of problems with MBS. The market participants did not re-evaluate their use of risk management tools or adjust security design in response to the 1994 crisis, suggesting a lack of understanding of the implications of the crisis. The 1994 meltdown showed that MBS were vulnerable to systematic risks and that these risks could precipitate an MBS market crash. Furthermore, the 1994 meltdown demonstrated that large-scale investment in MBS could affect the primary mortgage market, thereby rendering the MBS risks unpredictable. After 1994, MBS investment shifted to MBS backed by mortgages with default risk – a development that led to the crash of 2008. By drawing parallels between the 1994 and 2008 crises, this article shows how the MBS market failed to self-correct. The results suggest that financial market participants do not always incorporate relevant information in their decision-making and that market participants have difficulties in both foreseeing the effect of financial innovations on markets and interpreting these effects.     

A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series.     

结构性减税与扩张政府支出的宏观经济效应

为了深入研究不同类型财政政策对宏观经济的影响效应，本文构建纳入异质性家庭和细化财税工具的新凯恩斯DSGE模型，并着重模拟分析了不同类型财政政策冲击对居民消费、私人投资、通胀率以及总产出水平的动态影响效应。研究结果表明，不同类型财税工具对宏观经济的冲击效果存在显著差异，对于税收政策，劳动收入税减税能够有助于提升消费水平和消费需求，并调节和完善消费结构；而对于政府支出政策，转移支付规模的扩张通过刺激家庭消费，引导消费内需有效提升，从而带动经济增长方式由投资驱动型向消费驱动型转变，进而推动经济高质量发展。     

The organisation of urban agriculture in Cape Town,South Africa: A social capital perspective

This article explores urban agriculture in Cape Town and its organisational forms. Based on a literature review of peer-reviewed articles and grey literature, it examines the state of linkages among urban farmers and various supporting organisations of urban agriculture. Moreover, it examines the coordination of activities among key supporting organisations. By analysing the roles of state and non-state actors and linkages, the article discusses implications for the development of urban agriculture. This article suggests that a lack of effective coordination of initiatives among supporting actors presents a significant pitfall in the development of urban agriculture. Furthermore, the failure of farmers to self-organise is identified as equally detrimental. Therefore, it calls for improved synergies between state and non-state actors involved to ensure that the gains of urban agriculture are enhanced.     

金融创新如何缓解信任品市场失灵?——中国食品安全责任强制保险的自然实验

信任品市场(如食品、医药等)存在的问题一直困扰着中国和世界很多国家。关于产品和服务质量的信息不对称(道德风险和逆向选择)会导致信任品市场失灵。缓解信任品市场失灵,一种常见的解决方案是政府监管;而经济学家认为更加基于市场的解决方案(例如强制责任保险等金融创新)可能更为有效。在理论上,强制责任保险有两种相反的效应:保险公司的监督减少了道德风险 vs. 保险加剧了企业的道德风险,但一直亟待实证检验。幸运的是,中国食品安全责任强制保险的改革实验走在了世界的前列。本文利用了中国在不同地区、不同时间推行的这个自然实验,通过双重差分的方法识别出责任保险对于信任品市场的因果效应。本文的研究发现,强制责任保险能显著降低食品安全事故发生概率。这表明政府强制推行的金融创新可以成为信任品市场失灵的一种有效的替代性解决方案。     

Switching costs and financial stability

We establish that the effect of intensified deposit market competition, measured by reduced switching costs, on the probability of bank failures depends critically on whether we focus on competition with established customer relationships or competition for the formation of such relationships. With inherited customer relationships, intensified competition due to lower switching costs destabilizes the banking market, whereas it stabilizes the market if we focus on competition for the formation of customer relationships. We characterize the factors important for evaluating the effects of intensified competition on stability in a market with unattached as well as locked-in depositors.     

Predatory cells and puzzling financial crises: Are toxic products good for the financial markets?

We advance the idea that the predator-prey dynamics that take place among key market agents play an important role in explaining financial crises. As such, we posit that financial markets evolve through fault lines involving toxic behaviors (such as deceit), toxic products (such as predatory mortgages) and inefficient regulations. We provide data to show that the puzzle of the lack of congruence between the market behaviors and what some economic models predict at times of financial crises may be the result of predator-prey interplays, and of so-called “predatory cells”, which are under the influence of financial accelerators.     

Relying on the heuristic of trust: a case study

This study examines the reliance on trust as a heuristic by individuals when making personal financial decisions, using a qualitative case study. We show that in the face of complexity and choice, individual investors predominantly resorted to the heuristic of trust to make financial decisions. This demonstrates the need for industry and public policy‐makers to be aware that individuals can and will resort to simplified heuristics as a basis for financial decision‐making, particularly within an environment where substantial complexity and choice exist.     

Partnerships and production: Agriculture and polygyny in Tanzanian households

Women make important contributions to household food production in sub‐Saharan Africa. Women's agricultural productivity is often reduced, however, by inefficient intrahousehold allocation of agricultural resources. Complex marital structures found in polygynous households may complicate resource allocation. Using three waves of the Tanzania Living Standards Measurement Survey–Integrated Survey on Agriculture, we measure the effect of the marital structure, wife position, and plot management on agricultural productivity and input allocations. We find evidence of cooperation within polygynous households. Plots managed by husbands and wives in polygynous households produce more valuable crops, have higher yields, and are more likely to use fertilizer than their monogamous counterparts. Within polygynous households, we observe that plots jointly managed by husbands, first wives, and second wives (together) have significantly more family labor than plots managed by husbands and first wives. This result may provide evidence of different production technologies across plot managers within the same households.     

平顶山市休闲农业不同区域的发展潜力评价

[目的]对平顶山市休闲农业的空间分布特征及其发展潜力进行分析和评价,以期为平顶山市休闲农业的可持续发展提供参考和借鉴。[方法]文章对平顶山市休闲农业空间布局分区论述,并采用层次分析法构建平顶山市休闲农业发展潜力指标评价体系,确定指标权重,然后根据各指标的游客和当地农民的打分值与权重值加权计算不同区域的发展潜力指数并比较发展潜力大小。[结果]根据区域位置和地理环境以及休闲农业发展速度,将平顶山市休闲农业划分为北部山区休闲农业区、东部城乡休闲农业区、南部现代休闲农业区和西部傍水休闲农业区4个区域,各区域发展特点突出。对各指标权重值与打分值的加权求和计算得到的不同区域发展潜力指数看出,西部傍水休闲农业区的发展潜力最大,其次为北部山区休闲农业区,再者是南部现代休闲农业区,东部城郊休闲农业区的发展潜力最小。[结论]平顶山市休闲农业发展前景广阔,具有可持续发展的巨大潜力。由于地理区位和交通基础设施建设及环境条件和农业基础的差异,平顶山市的休闲农业可分为东西南北4个发展区域,其中西部傍水休闲农业区和北部山区休闲农业区具有较大的发展潜力,平顶山市可将其作为重点发展对象,重点打造水岸和山村休闲农业游,借助发展优势突出区域特色。