Basket options have long been an important structured product. Although basket options have been extensively studied in the literature, there are few published papers that deal with the pricing of basket options with stochastic interest rates. This study presents two novel basket option pricing models that permit the interest rates to be random. The paper presents a powerful calculation technique for the problem when underlying stock returns are continuous. Finally, we use a regular grid method to the calculation of the formula of two-asset basket option when underlying stock returns are continuous and a mixture of both the regular grid method and a Monte Carlo method to the one when underlying stock returns are discontinuous, and sensitivity analyses are presented.

This paper uses high frequency option data to investigate the information content of option trading of AH cross listed stocks (A-shares traded in mainland China and H-shares traded in Hong Kong) and the role of the Shanghai-Hong Kong Connect in this issue. Measuring the informed trading with order imbalance, we find that the order imbalance of stock options traded in Hong Kong contains incremental information that predicts the return of corresponding A-shares traded in Shanghai after controlling for the cross-market return and volume factors proposed by Gagnon and Karolyi (2009). More important, this predictive power strengthens after the Shanghai-Hong Kong Connect, which is also supported by the evidence of comparison between the two stock crashes exactly before and after the connection. During the 2015 stock crash, the spillover effect of the two markets is significantly stronger than that during the 2008 financial crisis.

本文对一类挂钩任意标的指数含敲入敲出期权结构的非保本浮动收益凭证进行分析。具体求解了当标的指数价格服从几何布朗运动时敲入和敲出期权的解析价格。实证采用三种跳扩散模型和核密度估计方法，利用标的指数历史价格数据，蒙特卡罗模拟收益凭证的风险与收益。研究结果表明：(1) 收益凭证嵌套的敲入和敲出期权的解析定价和蒙特卡罗模拟价格吻合，其中向上敲出看涨期权价格接近于零，向下敲入看跌期权价格较高，后者是收益凭证主要风险和高票息率的来源；(2) 对数正态、均匀分布跳扩散模型对样本数据的拟合效果不错，能较好地模拟收益凭证的风险和收益；(3) 该收益凭证过去运行的两年间为溢价发行，发生敲入和亏损的概率非常高，建议投资者谨慎参与。

We investigate banks' issuance choices of wealth management products (WMPs), which are both interest rate deregulation vehicles and shadow deposits without explicit government insurance. Support for an inverted-U shape between market share and WMP issuance is found in national market. State-owned banks are reluctant to issue WMPs due to their monopoly power, very small banks do not have the capacity to issue while small and medium banks issue WMPs intensively as a regulatory arbitrage. Moreover, the geographic deregulation in 2009 stimulates the bank competition in the local market, incumbent banks take advantage of WMPs to fight off the new entering banks.

In this paper, I build a continuous-time macro-finance model in which firms can access both bond credit and bank credit. The model captures the simple idea that the presence of bond financing increases the price elasticity of demand for bank loans. I find that the optimal capital adequacy ratio is quantitatively sensitive to the presence of bond financing and that models would overstate the banking sector's recovery rate if they omit bond financing. Furthermore, the model highlights that an economy's optimal capital requirement highly depends on the efficiency of its bankruptcy procedure and the risk profile of its real sector.

政策性农业保险以其金融杠杆的优势，辅以财政补贴的政策优势，日趋成为政府保障农业稳定生产、农民可持续性收入的利器，呈线性增长的趋势。然而，分销渠道较为单一、信息流通受限、信息不对称等约束因素一直制约着政策性农业保险覆盖率更大范围推广。“互联网＋”任何经营模式、生产方式、消费方式已经深度打破传统的时间、空间的禁锢，使得经济利益呈几何增长的态势。“互联网＋”政策性农业保险模式的构建，符合当前农村消费者的消费模式，探底农业生产经营者对于农业保险的需求与承受能力，也更加符合保险公司多维度营销模式。随着国家的“互联网＋”战略的覆盖面推广，其与政策性农业保险的融合，应该率先涉足农产品自然灾害保险和农产品价格保险两种险种，从互联网平台功能界定、供给侧政策扶持、风险转移等角度进行精雕细琢。

当前，共建“一带一路”进入高质量发展阶段，构建长期稳定、可持续的融资安排，提高投融资决策的科学性，对保障“一带一路”资金供给具有重要意义。相较于主权借款和公司融资，项目融资主要依靠项目自身现金流还款，负债具有一定的独立性和封闭性，不对投资人主体和东道国造成额外债务负担，在境外基础设施建设、产能合作等领域已逐渐成为主流融资模式。出口信用保险作为推动对外工程承包和对外投资的政策性工具，可有效对冲海外国别风险和项目商业风险，在境外项目融资中得到广泛应用。本文通过总结分析东南亚某国电力领域的典型融资案例，详细讨论信保在项目融资中的损失补偿和融资推动作用，同时也辩证分析其存在的局限性，形成对认识理解信保的一般规律性总结，以期扬长避短更好发挥信保作用，为构建债务可持续的融资模式、推动高质量共建“一带一路”提供助力。

China frequently suffers from weather related natural disasters and is a source of wide-spread systemic risk throughout large swaths of China. During these periods farmers crops are at risk and for a largely poor population few can afford the turmoil to livelihoods that goes along with drought. Throughout the developing world there is serious interest in index-based weather insurance for agriculture, and in China the China Insurance Regulatory Commission is investigating the insurability of weather related risk. Beyond that little formal research has appeared on either the demand, use or design of index insurance in China. This paper provides a preliminary assessment of farmers’ willingness to pay for drought insurance. Based on a survey of over 890 farm households in Shaanxi and Gansu provinces the results show that while there is significant demand, price may be an issue. Our results show that the majority of farm households would transition from a no-demand state to a demand state as prices fall. This suggests that in order to gain wide gain adoption there may be a need for governmental intervention.

Researchers have recently studied the interactions between corporate and government bond issuances in a variety of countries. Some conclude that government bonds compete with private bond issuances, while others conclude the opposite. We study here the special case of China’s 2017 issuance of two sovereign bonds denominated in U.S. dollars. We find that corporate bonds experienced a decline in yield spreads, bid-ask spreads, and price volatility around the time this sovereign issuance was first announced. The results are particularly strong for corporate bonds with maturities similar to those of the USD sovereigns. We conclude that these new bonds served as useful reference instruments that helped investors price and hedge the risks impounded in Chinese corporate bonds.

This paper examines the efficiency of prediction markets by studying the markets for catastrophe (CAT) bonds, compared to previous studies of prediction markets that used small-scale observational field data or experiments. We collect actual catastrophe loss data, match the defined trigger events of each CAT bond contract, and then employ an empirical pricing framework to obtain the excess CAT premiums in order to represent the market-based forecasts. Our results indeed show that the market-based forecasts have more significantly predictive content for future CAT losses than professional forecasts that use natural catastrophe risk models. Although the predictive information for CAT events is specialized and complex, our evidence supports that CAT bond markets are successful prediction markets that efficiently aggregate information about future CAT losses. Our results also highlight that actual CAT losses in future periods can explain the excess CAT bond spreads in the primary market and provide evidence of market efficiency when pricing CAT risk.