乡村振兴战略背景下农业保险发展对策研究——以四川省为例

乡村振兴战略的有效实施离不开金融体系的有力支持,农业保险作为金融支农重要工具在乡村振兴战略实施过程中发挥着重要作用。本文以四川省农业保险发展为研究案例,结合全国农业保险发展概况,点面结合深入分析了农业保险服务乡村振兴的内在逻辑、现状与问题,从乡村振兴依靠主体--老人农业与新型农业经营主体对风险的异质性需求角度出发,论述了农险服务乡村振兴的主要任务。本文认为,现阶段农业保险服务乡村振兴还存在顶层设计不合理、供需错配、目标定位不清导致中长期规划滞后、创新激励不足等结构性问题。基于此,本文提出从中央、省级政府以及保险公司三方出发,采取农险供给侧改革、优化顶层设计、加强农险宣传,提升农户保险意识、探索互助农险合作模式、充分运用互联网高新技术提高风险管控能力等政策建议。     

Pricing default swaps: Empirical evidence

In this paper we compare market prices of credit default swaps with model prices. We show that a simple reduced form model outperforms directly comparing bonds' credit spreads to default swap premiums. We find that the model yields unbiased premium estimates for default swaps on investment grade issuers, but only if we use swap or repo rates as proxy for default-free interest rates. This indicates that the government curve is no longer seen as the reference default-free curve. We also show that the model is relatively insensitive to the value of the assumed recovery rate.     

How do “gatekeepers” affect credit risk?

This study investigates the relationship between auditor tenure and credit default swap (CDS) spreads of U.S. firms based on quantile regression. After allowing for common determinants of CDS spreads, auditor tenure exerts both statistically and economically significant additional impacts on the CDS market. Furthermore, there are differential effects of common CDS spread determinants and auditor tenure. While common determinants of CDS spreads (e.g., leverage, volatility, risk free rate, credit ratings, and earnings) have monotonically increasing impacts when CDS spreads (and their changes) are increasingly higher, auditor tenure primarily has the impact when CDS spreads are of low or median levels for less risky firms.     

CLOSED FORM PRICING FORMULAS FOR DISCRETELY SAMPLED GENERALIZED VARIANCE SWAPS

Most of the existing pricing models of variance derivative products assume continuous sampling of the realized variance processes, though actual contractual specifications compute the realized variance based on sampling at discrete times. We present a general analytic approach for pricing discretely sampled generalized variance swaps under the stochastic volatility models with simultaneous jumps in the asset price and variance processes. The resulting pricing formula of the gamma swap is in closed form while those of the corridor variance swaps and conditional variance swaps take the form of one‐dimensional Fourier integrals. We also verify through analytic calculations the convergence of the asymptotic limit of the pricing formulas of the discretely sampled generalized variance swaps under vanishing sampling interval to the analytic pricing formulas of the continuously sampled counterparts. The proposed methodology can be applied to any affine model and other higher moments swaps as well. We examine the exposure to convexity (volatility of variance) and skew (correlation between the equity returns and variance process) of these discretely sampled generalized variance swaps. We explore the impact on the fair strike prices of these exotic variance swaps with respect to different sets of parameter values, like varying sampling frequencies, jump intensity, and width of the monitoring corridor.     

Variance swaps valuation under non-affine GARCH models and their diffusion limits

In this article, we investigate the pricing and convergence of general non-affine non-Gaussian GARCH-based discretely sampled variance swaps. Explicit solutions for fair strike prices under two different sampling schemes are derived using the extended Girsanov principle as the pricing kernel candidate. Following standard assumptions on time-varying GARCH parameters, we show that these quantities converge respectively to fair strikes of discretely and continuously sampled variance swaps that are constructed based on the weak diffusion limit of the underlying GARCH model. An empirical study which relies on a joint estimation using both historical returns and VIX data indicates that an asymmetric heavier tailed distribution is more appropriate for modelling the GARCH innovations. Finally, we provide several numerical exercises to support our theoretical convergence results in which we further investigate the effect of the quadratic variation approximation for the realized variance, as well as the impact of discrete versus continuous-time modelling of asset returns.     

Pitfalls and perils of financial innovation: The use of CDS by corporate bond funds

We use the financial crisis of 2007–2009 as a laboratory to examine the costs and benefits of teams versus single managers in asset management. We find that when a fund uses complex trading strategies involving the use of CDS team-managed funds outperform solo-managed funds. This may be due to the greater diversity of expertise, experience and skill of teams relative to single managers. During the financial crisis, however, the performance premium of teams becomes negative, which may be because of the slower decision times of teams, which are especially costly during times of rapidly changing market conditions.     

Disentangling types of liquidity and testing limits-to-arbitrage theories in the CDS–bond basis

We disentangle asset-specific, market, and funding liquidity in the CDS–bond basis outside and during the 2007–9 global financial crisis. Our findings stress the importance of separating different types of liquidity, since all three measures have independently negative impacts on the basis. Funding liquidity emerges as the economically most important liquidity metric. While asset-specific liquidity is cross-correlated in both the cash and derivative markets, funding and market liquidity only matter for the cash market. We exploit the decomposition of the basis to test predictions of limits-to-arbitrage theories. We find strong evidence in favor of margin-based asset pricing and flight-to-quality effects.     

Moving markets? Government bond investors and microeconomic policy changes

Do sovereign bond markets react systematically to microeconomic policy reforms? Some observers suggest that investors are very attentive to supply‐side policies such as those related to labor markets, corporate taxation, and product standards. They argue that, along with macroeconomic outcomes and broad financial market conditions, such reforms affect sovereign bond premiums, for developed as well as emerging economies. In contrast, we predict few systematic effects of supply‐side policy reforms on sovereign bond market outcomes. Our theory draws on a standard three‐equation model of the economy, widely accepted among economic and finance professionals. That model makes few clear predictions regarding the anticipated effects of microeconomic policy changes; as a result, we expect that such reforms will not generate systematic market reactions. Our analyses, based on daily data from 37 countries from 2004 to 2012, indeed reveal little evidence of a systematic bond market reaction to the 47 most significant reforms to corporate taxation and labor market regulation. These results call into question the notion that “bond market vigilantes” play a central role in compelling governments to enact specific microeconomic policy changes.