城镇居民金融资产与不动产财富效应的比较分析

城镇居民两种资产的财富效应呈现三个特点:一是住房资产的财富效应大于金融资产的财富效应;二是两种资产的财富效应差别不大;三是两种资产的财富效应较微弱。这表明:第一,住房对消费具有一定的支撑作用;第二,金融资产增值性不强和股市的波动限制财富效应的发挥;第三,较强的流动性约束制约住房资产的财富效应;第四,消费的过度敏感性使资产财富效应微弱。为了通过财富效应来促进消费,必须维持股市和房地产市场稳定的预期,大力发展金融市场,抑制住房价格的过快增长并促进住房市场平稳发展。     

Strategic trading and learning about liquidity

Many practitioners point out that the speculative profits of institutional traders are eroded by the difficulty in gauging the price impact of their trades. In this paper, we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about time-varying market liquidity. Unlike the competitive market makers that they trade against, informed traders do not know the distribution of liquidity (“noise”) trades. Instead, they have to learn about liquidity from past prices and trading volume. This learning implies that strategic trades and market statistics such as informational efficiency are path-dependent on past market outcomes. Our paper also has normative implications for practitioners.     

Money and exchange rates in the Grossman-Weiss-Rotemberg model

We analyze the impact of monetary policy on inflation, interest rates and exchange rates in a model with segmented asset markets developed by Grossman and Weiss (1983) and Rotemberg (1984, 1985). We find parameters for which real and nominal exchange rates in this model are (1) much more volatile than interest rates, inflation rates, and money growth rates, (2) highly correlated with each other, and (3) highly persistent. While this model fails to match the data in other important respects, it illustrates a potentially useful approach to modelling exchange rate behavior.     

Alternatives to blanket guarantees for containing a systemic crisis

This paper seeks to explain how policy actions undertaken at the outset of recent crises—particularly the issuance of extensive liquidity support and government guarantees—absorb off-budget fiscal resources and inappropriately constrain officials’ subsequent options for restructuring their country’s troubled financial and corporate sectors. Empirical evidence supports the commonsense view that the damage a crisis works on a country’s financial sector and on its real economy is lessened by taking market-mimicking actions that promptly estimate and allocate losses during the early stages of a crisis. The most important steps are to plan to call a timeout to separate hopelessly insolvent institutions from potentially viable ones and to provide haircuts, guarantees, and liquidity support in ways that protect taxpayers and avoid subsidizing insolvent institutions’ longshot gambles for resurrection.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.     

The impact of equity ownership groups on investment: Evidence from Ukraine

We empirically investigate the impact of different ownership groups on companies’ investment in Ukraine with a novel dynamic investment model where investment is based on present and historical levels of profitability (market-to-book value of equity) and lagged investment. Groups include state, insider, non-domestic, financial and financial and industrial group (FIG) ownership. Contrary to the literature, we find that the past level of profitability significantly affects investment; the majority presence of and increases in state ownership have a negative impact on firms’ investment, as is the case for non-domestic and financial companies’ ownership. Insider and FIG ownership have no impact on investment. We explain the results by the extent of liquidity concerns (hard and soft budget constraints), measured by cash flow interacted with a dummy variable of majority ownership of the respective group, and the extent of asset stripping for the corresponding ownership group and relate them to over- and under-investment, and to the free cash flow or cash constraint hypothesis.     

货币传导异质性与实体经济流动性配置的“马太效应”

货币政策支持实体经济高质量发展的关键在于疏通货币政策传导机制,引导流动性进入重点领域和薄弱环节,因此货币资金的配置效率至关重要。本文基于交互效应面板分位数回归,测度货币政策对实体企业流动性的异质性效应。研究发现:在样本期内,实体经济流动性配置陷入了资金越充裕的企业越易于获得融资,越易于获得融资的企业资金越充裕的窘境。这种流动性配置的“马太效应”具体表现为,货币政策对尾部企业的支持力度不及头部企业的一半;虚拟经济对尾部企业的“分流效应”高达头部企业的3倍,从而强化了流动性配置的失衡。因此,当前密集出台的一系列普惠政策有助于提升流动性配置效率,进一步完善调控模式的关键在于健全现代化金融体系,增强货币政策的靶向性和针对性。     

Measuring systemic risk-adjusted liquidity (SRL)—A model approach

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.     

The impact of the French Tobin tax

We analyze the impact of the introduction of the French Tobin tax on the turnover and measures of the liquidity and volatility of the affected stocks with nonparametric tests on individual stocks, difference-in-difference tests and other robustness checks controlling for simultaneous month-of-the-year and size effects. Our findings indicate that the tax produces a significant reduction in turnover and volatility (measured in terms of stock price volatility and the high–low price range) and inconclusive effects on liquidity when the latter is evaluated under the two dimensions of the estimated bid–ask spread and the Amihud (2002) price impact ratio.     

Systemic risk and dynamics of contagion: a duplex inter-bank network

This paper constructs a duplex banking network formed by credit relationships and information interaction via the banks’ balance sheet to model the structure of systemic risk and investigate the dynamic mechanism of contagion in terms of default and liquidity infection along with the factors that affect the extent of the contagion. We systematically explain the role that duplex banking networks play in different aspects of risk contagion. Through theoretical analysis and simulations, we conclude that asymmetric information interaction would increase the inflexibility of the system, which leads to liquidity shortage and possibly the collapse of the whole market. The weakness of systemic risk in the interior of the complex banking system can be characterized by the partial discount factor using illiquid assets in the information network. By improving the connectedness of the information network of the duplex networks, the spread of contagion can be partially slowed.