农业产业化经营中的风险要素及其规避

成熟的农业产业化经营在很大的程度上弱化了农业风险。但作为一种尚不成熟的农业产业化经营,潜藏着各种经营风险,包括市场风险、技术风险、违约风险和自然风险。农业产业化经营风险具有客观性、多样性和隐含性,农业产业化经营主体应针对不同风险,采取不同措施,有效化解和规避风险。     

论我国机构投资者对股票市场的反稳定作用

运用数理统计的基本原理，指出导致近几年中国股市非理性下跌的最直接原因，是以证券投资基金为主的机构投资者超常规发展。在目前的情况下，不宜继续提倡大力发展机构投资者，应努力恢复股票市场对中小投资者的吸引力，实现中国股市投资主体之间的“生态平衡”，从而支持中国股市长期稳定和谐发展。     

论税收撤销权

税务机关如何正确行使撤销权,有关的法律规定过于简单。因而,需要从理论和实践相结合的角度对税收撤销权的成立要件、税收撤销权的行使及效力、税收撤销权的冲突等问题给予明确,以期对税收实践有所裨益。     

我国基金选股选时能力实证分析

本文运用西方基金绩效评价中较为常见的选股选时能力模型及其FF3改进模型对我国证券投资基金进行实证研究,在处理过程中考虑了不同取样频率和不同样本区间的影响.研究结果表明:(1)我国基金只存在很小程度的选股能力,而基本不存在选时能力,更没有基金同时具有选时能力和选股能力;(2)多因素改进模型与原模型相比显著提高了解释能力,说明在可能的情况下应尽可能使用多因素模型;(3)加快取样频率后基金表现出更强一些的选股能力,但在各年度内基金的选股能力有所差异.     

International Transmission Channels of U.S. Quantitative Easing: Evidence from Canada

The U.S. Federal Reserve responded to the great recession by implementing quantitative easing, or large‐scale asset purchases, when its conventional policy rate reached the zero lower bound. We assess the international spillover effects of this quantitative easing program on the Canadian economy in a factor‐augmented vector autoregression (FAVAR) framework, by considering a counterfactual scenario in which the Federal Reserve's long‐term asset holdings do not rise in response to the recession. We find that U.S. quantitative easing boosted Canadian output, mainly through the financial channel.     

Financial Stress Regimes and the Macroeconomy

Some financial stress events lead to macroeconomic downturns, while others appear to be isolated to financial markets. We identify financial stress regimes using a model that explicitly links financial variables to macro‐economic outcomes. The stress regimes are identified using an unbalanced panel of financial variables with an embedded method for variable selection. Our identified stress regimes are associated with corporate credit tightening and with NBER recessions. An exogenous deterioration in our financial conditions index has strong negative effects in economic activity, and negative amplification effects on inflation in the stress regime. These results are obtained with a novel factor‐augmented vector autoregressive model with smooth‐transition regimes (FASTVAR).     

Machine learning in individual claims reserving

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.     

Expected exponential utility maximization of insurers with a Linear Gaussian stochastic factor model

In this paper, we consider the problem of optimal investment by an insurer. The wealth of the insurer is described by a Cramér–Lundberg process. The insurer invests in a market consisting of a bank account and m risky assets. The mean returns and volatilities of the risky assets depend linearly on economic factors that are formulated as the solutions of linear stochastic differential equations. Moreover, the insurer preferences are exponential. With this setting, a Hamilton–Jacobi–Bellman equation that is derived via a dynamic programming approach has an explicit solution found by solving the matrix Riccati equation. Hence, the optimal strategy can be constructed explicitly. Finally, we present some numerical results related to the value function and the ruin probability using the optimal strategy.     

The Landscape of Economic Growth: Do Middle-Income Countries Differ?

We review the growth experience of middle-income countries. Economic factors associated with growth appear to differ between middle-income and other countries. The efficiency of the financial system is importantly related to the growth rate in low- and middle-income countries, but appears to matter less as one moves up the income scale. Demographic variables also matter importantly in low-income countries. In middle-income countries, in contrast, measures of the financial system no longer appear to matter as importantly, as if inefficiencies in banking and financial systems are no longer as binding a constraint as at earlier stages of financial development; nor are demographic variables as important as before. At this point, other variables gain a growing role: these include whether the country experiences a banking or currency crisis, the extent of non-foreign direct investment capital inflows, and government debt as a share of gross domestic product.     

The Role of Total Factor Productivity Growth in Middle-Income Countries

We examine the importance of total factor productivity (TFP) growth in middle-income countries (MICs) based on cross-country panel data for the period of 1975–2014. We find that TFP growth contributed significantly to a country’s upward transition from middle-income to high-income country group. The TFP growth model reveals that the catch-up effect, human capital, smaller population, weak currency, and research and development growth are significant sources of TFP growth. We do not find a systematic difference in the TFP growth models for MICs. In analyzing the role of factors influencing TFP growth at different income stages, strengthening innovative activities and building innovative capacities are important in overcoming the challenges that MICs face when transitioning to the high-income group. Governments of upper MICs need to initiate reform to motivate innovation by optimizing national R&D systems, and redesigning the educational system to target promoting innovation.