Bank liquidity creation,monetary policy,and financial crises

This paper examines the interplay among bank liquidity creation (which incorporates all bank on- and off-balance sheet activities), monetary policy, and financial crises. We find that: (1) high liquidity creation (relative to trend) – particularly off-balance sheet liquidity creation – helps predict crises, controlling for other factors; (2) monetary policy has statistically significant, but economically minor effects on liquidity creation by small banks during normal times, and these effects are even weaker during financial crises; (3) monetary policy has very little effects on medium and large bank liquidity creation during both normal times and crises. These findings suggest that authorities may wish to monitor bank liquidity creation closely in order to predict and perhaps lessen the likelihood of financial crises. They might also consider other tools to control bank liquidity creation, such as capital and liquidity requirements.     

When noise trading fades,volatility rises

We hypothesize and test an inverse relation between liquidity and price volatility derived from microstructure theory. Two important facets of liquidity trading are examined: volume and noisiness. As represented by the expected turnover rate (volume) and realized average commission cost per share (noisiness) of NYSE equity trading, both facets are found negatively associated with the ex post and ex ante return volatilities of the NYSE stock portfolios and the NYSE composite index futures. Furthermore, the inverse association between noisiness and volatility is amplified in times of market crisis. The negative noisiness–volatility relation is also supported by our analysis on the effects of trade size on price volatility. The overall results demonstrate that volatility increases as noise trading declines.     

Banking market structure,liquidity needs,and industrial growth volatility

While the existing literature acknowledges the effect of banking structure on industrial growth as well as the effect of financial development on industrial growth and its volatility, we examine whether banking structure, given financial development, exerts any nontrivial effect on industrial growth volatility. We show that bank concentration magnifies industrial growth volatility, but reduces the volatility in sectors with higher external liquidity needs. The reduction in industrial growth volatility mostly reflects the smoothing in the volatility of real value added per firm growth. A variety of sensitivity checks show that our findings remain for different model specifications, banking market structure measures, liquidity need indicators, and omitted variables.     

Financial crises and emerging stock markets volatility: do internal factors matter?

This paper has two central aims. The first one is to deal empirically with the effects of financial crises on emerging stock markets volatility. The second objective consists in testing if the level of stock market development affects this relationship. For this purpose, we estimate a static panel data model for a sample of nine emerging economies from January 1990 to December 2006. We consider three types of financial crises, i.e. banking, currency and twin crises. Our empirical results suggest that the onset of financial crises strongly increased stock market volatility. In addition, we find that the biggest impact is exerted by twin crises. When dealing with the second objective, our results show that the market size and the liquidity level can attenuate the effects of banking and currency crises, but not the one associated to twin crises. Nevertheless, the degree of stock market integration seems to reduce the effects of banking, currency and twin crises on stock market volatility.     

Liquidity risk,price impacts and the replication problem

We extend a linear version of the liquidity risk model of Çetin et al. (Finance Stoch. 8:311–341, 2004) to allow for price impacts. We show that the impact of a market order on prices depends on the size of the transaction and the level of liquidity. We obtain a simple characterization of self-financing trading strategies and a sufficient condition for no arbitrage. We consider a stochastic volatility model in which the volatility is partly correlated with the liquidity process and show that, with the use of variance swaps, contingent claims whose payoffs depend on the value of the asset can be approximately replicated in this setting. The replicating costs of such payoffs are obtained from the solutions of BSDEs with quadratic growth, and analytical properties of these solutions are investigated.     

An Empirical Analysis of Stock and Bond Market Liquidity

This article explores cross-market liquidity dynamics by estimatinga vector autoregressive model for liquidity (bid-ask spreadand depth, returns, volatility, and order flow in the stockand Treasury bond markets). Innovations to stock and bond marketliquidity and volatility are significantly correlated, implyingthat common factors drive liquidity and volatility in thesemarkets. Volatility shocks are informative in predicting shiftsin liquidity. During crisis periods, monetary expansions areassociated with increased liquidity. Moreover, money flows togovernment bond funds forecast bond market liquidity. The resultsestablish a link between "macro" liquidity, or money flows,and "micro" or transactions liquidity.     

A Model of Monetary Policy and Risk Premia

We develop a dynamic asset pricing model in which monetary policy affects the risk premium component of the cost of capital. Risk‐tolerant agents (banks) borrow from risk‐averse agents (i.e., take deposits) to fund levered investments. Leverage exposes banks to funding risk, which they insure by holding liquidity buffers. By changing the nominal rate the central bank influences the liquidity premium, and hence the cost of taking leverage. Lower nominal rates make liquidity cheaper and raise leverage, resulting in lower risk premia and higher asset prices, volatility, investment, and growth. We analyze forward guidance, a “Greenspan put,” and the yield curve.     

Identifying the effects of a lender of last resort on financial markets: Lessons from the founding of the fed

We use the founding of the Federal Reserve to identify the effects of a lender of last resort. We examine stock return and interest rate volatility during September and October, when markets were vulnerable because of financial stringency from the harvest. Stock volatility fell by 40% and interest rate volatility by more than 70% following the monetary regime change. The drop is insignificant if major panic years are omitted from the analysis, however. Because business cycle downturns occurred in the same year as financial crises, our results suggest that the existence of the Federal Reserve reduced liquidity risk.     

Liquidity Coinsurance, Moral Hazard, and Financial Contagion

We study the propagation of financial crises among regions in which banks are protected by limited liability and may take excessive risk. The regions are affected by negatively correlated liquidity shocks, so liquidity coinsurance is Pareto improving. The moral hazard problem can be solved if banks are sufficiently capitalized. Under autarky a limited amount of capital is sufficient to prevent risk‐taking, but when financial markets are open capital becomes insufficient. Thus, bankruptcy occurs with positive probability and the crisis spreads to other regions via financial linkages. Opening financial markets is nevertheless Pareto improving; consumers benefit from liquidity coinsurance, although they pay the cost of excessive risk‐taking.     

Transparency,Liquidity, and Valuation: International Evidence on When Transparency Matters Most

We examine the relation between firm‐level transparency, stock market liquidity, and valuation across countries, focusing on whether the relation varies with a firm's characteristics and economic environment. We document lower transaction costs and greater liquidity (as measured by lower bid‐ask spreads and fewer zero‐return days) for firms with greater transparency (as measured by less evidence of earnings management, better accounting standards, higher quality auditors, more analyst following, and more accurate analyst forecasts). The relation between transparency and liquidity is more pronounced in periods of high volatility, when investor protection, disclosure requirements, and media penetration are poor, and when ownership is more concentrated, suggesting that firm‐level transparency matters more when overall investor uncertainty is greater. Increased liquidity is associated with lower implied cost of capital and with higher valuation as measured by Tobin's Q. Finally, a mediation analysis suggests that liquidity is a significant channel through which transparency affects firm valuation and equity cost of capital.     

市场摩擦对特质风险溢价的影响效应——基于A股主板市场的实证分析

与国外发达市场相比,我国A股主板市场的市场摩擦因素对市场微观结构和资产定价的影响更大。在防范和化解系统性风险的过程中,进一步分析市场摩擦如何作用于特质风险定价效应的问题具有重要的理论和现实意义。本文通过采用多维市场摩擦指标来代理信息不对称、交易成本、买卖限制、卖空限制、风险对冲和外部冲击,检验中国股市特质风险和预期收益率的关系,并判断出市场摩擦因素间的差异性影响机制。回归发现,市场摩擦和特质风险因子(特质波动率和特质偏度)都具有定价效应。各维度市场摩擦因素降低了股票流动性,进而增强了特质波动率的负向定价效应,部分解释了“特质波动率之谜”,但市场摩擦对特质偏度因子溢价的影响较为微弱。同时,基于特质波动率和特质偏度因子的投资策略能够产生超越CAPM、三因子和五因子模型的绝对收益,并印证了市场摩擦对特质风险因子绝对收益的影响作用。     

Asymmetric information,volatility components and the volume–volatility relationship for the CAC40 stocks

This paper investigates the relationship between trading volume components and various realized volatility measures for the CAC40 index constituents. A mixture-of-distribution model is used to decompose trading volume into informed and liquidity components. Realized volatility is broken down into continuous volatility and jumps. Our findings confirm the strong positive contemporaneous relationship between total trading volume and volatility when realized volatility and its continuous component are considered. A limited evidence of the effect of total trading volume on discontinuous volatility is found. The positive volume–volatility relationship is mainly driven by the informed component of trading volume. Conversely, liquidity volume is negatively related to realized volatility lending some support to the view that liquidity trading dampens the volatility of stock returns. A stronger negative relationship between liquidity volume and volatility jump is uncovered.     

Financial crises and political crises

The simultaneous determination of financial default and political crises is studied in an open economy model. Political crises accompany default in equilibrium because of an information transmission conflict between the government and the public. Multiple equilibria are possible: if foreign lenders are pessimistic about the country's stability, they demand a high interest on the debt, exacerbating distortions and possibly leading to political crisis; but if lenders are optimistic, the cost of the debt falls and political crises disappear. In such a case, international liquidity packages can select the best equilibrium and rule out political crises at negligible cost.     

投资者分歧、异常交易量和股票横截面收益率预测——基于中国股票市场的经验证据

本文定义月度异常交易量为本月与上个月交易金额的比值,发现中国市场月度收益率与滞后一个月的异常交易量显著负相关。在控制了公司规模、账面市值比、流动性以及动量效应等指标后仍然具有显著的解释作用。进一步研究表明,在出现高异常交易量后的12个月内,换手率和特质性波动率都有大幅上升。本文认为,交易量上升代表着市场分歧程度和受关注程度的增加,在卖空约束下会使得股票价值高估,从而造成未来收益率下降。     

Liquidity,Volume, and Order Imbalance Volatility

We examine the dynamics of liquidity using a comprehensive sample of U.S. stocks in the post-decimalization period. Motivated by a continuous-time inventory model, we compute a high-frequency measure of order imbalance volatility to proxy for the inventory risk faced by liquidity providers. We show that high-frequency order imbalance volatility is an important driver of liquidity and explains the often positive time-series relation between spread and volume for large stocks, which seems to run counter to most theoretical models. Furthermore, order imbalance volatility is priced in the cross-section of stock returns.     

High-frequency trading: a literature review

The relatively recent phenomenon of high-frequency trading has had a profound impact on the micro-structure of financial markets. Several authors hailed it as a provider of liquidity and a mechanism for controlling volatility, two highly welcome features, especially beneficial to retail traders, whereas other authors view the situation generated by algorithmic trading as damaging for both small and institutional traders, and the orderly functioning of the markets. This paper analyzes the impact of high-frequency trading in respect of the main parameters affecting market quality: volatility, transaction costs, liquidity, price discovery, penalization of slower traders, and impact on sudden financial crises, the notorious flash crashes. As often happens within the financial community, different views stand to each other and no conclusive agreement on the value of most parameters has been reached as yet. A section on the apparently falling profits of high-frequency traders, as denounced in recent times, completes the review.

     

The determinants of private capital flow volatility in Sub-Saharan African countries

The study investigates the underlying factors of patterns of volatility for FDI, portfolio equity and cross-border bank lending inflows for sub-Saharan African countries using a panel framework with data from 1990 to 2011. No other study has focussed exclusively on sub-Saharan Africa when investigating the determinants of private capital flow volatility. This study is further unique in that it employs clearly-delineated cross-border bank lending data from the Bank of International Settlements’ (BIS) Locational Banking Statistics that has not been used by similar prior studies. The findings of the study are as follows: (1) global liquidity lowers FDI volatility while private sector credit increases volatility; (2) global liquidity increases portfolio equity volatility with growth and the quality of macroeconomic policies found to be important pull factors in lowering volatility; and (3) the quality of macroeconomic policies and trade openness are important pull factors in lowering cross-border bank lending volatility while financial openness increases volatility.     

Limit Orders, Depth, and Volatility: Evidence from the Stock Exchange of Hong Kong

We investigate the role of limit orders in the liquidity provision in a pure order-driven market. Results show that market depth rises subsequent to an increase in transitory volatility, and transitory volatility declines subsequent to an increase in market depth. We also examine how transitory volatility affects the mix between limit orders and market orders. When transitory volatility arises from the ask (bid) side, investors will submit more limit sell (buy) orders than market sell (buy) orders. This result is consistent with the existence of limit-order traders who enter the market and place orders when liquidity is needed.     

Sovereign debt and reserves with liquidity and productivity crises

During the recent financial crisis, emerging economies have kept accumulating both sovereign reserves and debt. To account for this empirical fact, we model the optimal portfolio choice of a sovereign that is subject to liquidity and productivity shocks. We determine the equilibrium level of debt and its cost by solving a contracting game between sovereign and international lenders. Although raising debt increases the sovereign exposure to liquidity and productivity crises, the simultaneous accumulation of reserves can mitigate the negative effects of such crises. This mechanism rationalizes the complementarity between debt and reserves.     

Earnings volatility,ambiguity, and crisis-period stock returns

Financial crises are marked by substantial increases in ambiguity where prices appear to decouple from fundamentals. Consistent with ambiguity-based asset pricing theories, we find that ambiguity concerns are more severe for firms with higher earnings volatility, causing investors to demand a higher ambiguity premium for such firms. While there is no relation between earnings volatility and stock returns under normal conditions, there is a significant negative relation between crisis-period stock returns and prior earnings volatility. The effect is stronger in firms with low institutional ownership and low analyst following, consistent with ambiguity concerns being greatest amongst firms with unsophisticated investors.