现代资产定价理论的研究和发展——基于有效市场假说和资产定价模型的视角

围绕对有效市场假说的联合检验假设难题、资本资产定价模型的检验、“贝塔通缉令”“因子动物园”“多因素模型大战”等重点和核心话题,对现代资产定价理论文献的研究脉络进行梳理和评述,在此基础上对未来资产定价的研究重点和方向提出建议。     

The valuation effect of stock dividends or splits: Evidence from a catering perspective

We hypothesize that managers use stock dividends or splits to cater to gambling investors who are willing to pay a premium for stocks with lottery-like features. Using proprietary account-level trading records, we find that retail investors, particularly those with a strong gambling preference, become strong net buyers following the announcement of stock dividends, while professional investors unload their holdings. Moreover, we find that positive market reactions to stock dividends is positively associated with increases in gambling investors.     

Is it still economic to build a new coal-fired power plant in the U.S.? A real option analysis

In the U.S., virtually no new coal-fired power plants have been built in recent years. Both industry experts and academics seem to believe that no rational firm will build a new coal-fired plant. Will such a trend continue in the future? To provide insights into this question, we investigate the optimal decision of an electricity company with an irreversible and deferrable opportunity to build either a new coal-fired or natural gas-fired power plant as its new base-load resource. According to our real option analysis, the optimal decision depends on the location. In the case of the eastern U.S., it is optimal to choose a natural gas plant if a firm is given a choice among a new natural gas plant, a new coal plant and deferring the investment. However, contrary to the common sentiment in the industry and academia, building a new coal plant in the western U.S. is still more economical than building a new natural gas plant in the absence of emission pricing. Furthermore, introducing carbon pricing to western U.S. states, as California did, can substantially increase the probability that a firm will optimally choose a natural gas plant over a coal plant.     

Existence of long memory in crude oil and petroleum products: Generalised Hurst exponent approach

This study examines the presence of long-run dependence in a variety of crude and refined energy spot markets during the 1986–2018 period using the time-varying generalised Hurst exponent. Our results indicate that the weak-form efficiency in energy spot markets is clearly time-varying, with USGC(U.S. Gulf Coast Conventional Gasoline) Diesel Fuel the most efficient and Propane the least. An important finding is that after the subprime crisis, the persistence of energy spot market products has increased. Overall, our finding highlights that the time-varying model is preferable to the time-constant one since the former can capture time-varying efficiency, which heavily depends on a country’s predominant economic and political conditions.     

Tax evasion by tax deferment: Sham litigation with an informal credit market

We show theoretically how tax evasion is facilitated by informal credit market through tax deferment. Our model is empirically based. Using sham litigation, tax evaders earn a higher rate of return than the stipulated penalty rate for tax evasion while the government loses tax revenue. We propose an upfront part–payment of the disputed amount of tax as a solution to the form of tax evasion we describe.     

土地市场扭曲如何影响制造业出口产品质量升级*——基于土地市场交易数据和制造业企业数据的实证分析

地方政府“以地谋发展”的策略在促进各地区制造业大规模集聚和出口贸易快速增长的同时，也势必会给企业出口产品质量带来深刻影响。本文综合利用中国土地市场网城市土地交易数据、中国工业企业数据、中国海关进出口产品数据和中国城市面板数据，实证检验了土地市场扭曲对企业出口产品质量升级的影响，并对其内在机制进行了探讨。研究发现：中国城市建设用地配置存在明显的工业偏向性，进而导致工业用地价格被低估，产生工业用地应得收益大于实际价格的反向扭曲问题。这种反向扭曲可通过抑制技术进步、阻碍产业结构高级化、弱化集聚经济效应等机制显著降低制造业企业出口产品质量。土地市场扭曲对企业出口产品质量升级的影响具有明显的异质性特征。具体而言，土地市场扭曲不利于一般贸易企业与混合贸易企业出口产品质量提升，但对加工贸易企业出口产品质量提升具有促进作用。土地市场扭曲对企业出口产品质量升级的抑制作用由东到西依次递增。土地市场扭曲不利于外资企业和国有企业出口产品质量提升，对集体企业及民营企业的影响不显著。     

Monitoring the foreign exchange rate benchmark fix

ABSTRACT

We develop a Manipulation Index (ManIx) that captures the potential manipulation intention of dealers during the World Markets/Reuters (WMR) benchmark (London Close) period at 4 pm London time through a unique algorithm and simulation. The application of this model (using a dataset with dealers’ identities) can identify banks that are prone to potential manipulative behavior. The results concerning the identified banks are validated by the regulatory investigations. Implementation of this algorithm allows regulators better direct their limited resources towards more targeted in-depth investigation.     

Dynamics of capital account and current account in Sri Lanka

This paper enquires the dynamics of current account and capital account in Sri Lanka for the period 2001:Q1 to 2016:Q1 and also examines the role of some policy variables such as exchange rate and interest rate in this dynamics. Estimated autoregressive distributed lag (ARDL) bound testing approach to cointegration followed by error correction representation of the ARDL model have found that current account is caused by capital account and exchange rate, where capital account causes to produce a deficit in current account. In the dynamic adjustment of current account due to exchange rate, an evidence of J-curve phenomenon is noticed. Capital account is neither caused by current account nor by exchange rate but interest rate has a positive impact on it. Robustness of these findings is testified by the vector autoregression model, Wald test of Granger causality followed by an impulse response analysis and a variance decomposition analysis. These analyses, in addition, establish a negative impact of interest rate on current account. With the best of knowledge this is the first study that reveals the dynamics of current and capital account of Sri Lanka. Such a dynamics is critical from the policy perspective. Policy makers should caution before capital account liberalization.     

Stochastic Frontier Estimation of Market Power in the Food Industries

We use a modified version of the stochastic frontier model to estimate oligopoly markups above the perfectly competitive frontier, separating out deterministic markups from purely stochastic markups. Using data from 42 US food processing industries between 1990 and 2010, empirical results indicate a widespread incidence of oligopoly power, with Lerner indexes averaging approximately 21%. Further, the estimated markups increase with industrial concentration but decrease with price elasticities and imports. Finally, the estimated Lerner indexes are in the range of previous food industry estimates using New Empirical Industrial Organization (NEIO) models.