Do the central bank actions reduce interest rate volatility?

This paper investigates how Central Bank of Brazil (CBB) actions influence market uncertainty. We consider two kinds of actions: the monetary policy decision about the interest rate target and the pure communication event of this decision published one week later. Unlike related papers, we measure the market uncertainty by the implied volatility extracted from interest rate options. Implied volatility is more suitable than physical volatility to assess economic effects since it encompass market beliefs adjusted by risk. We use an event study approach to evaluate the impact of CBB actions. The results show that both the decisions about the target rate and the communication event reduce the interest rate volatility.     

Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test

This study examines whether a volatility/risk transmission exists between the Dow Jones Islamic stock and three conventional stock markets for the United States, Europe and Asia during the pre- and the in- and post-2008 crisis periods. It also explores the volatility spillover dynamics between those markets and US Monetary policy, oil prices, global financial risk and uncertainty factors. The recently developed Hafner and Herwartz (2006)’s causality-in-variance test provides evidence of risk transfers between these seemingly different equity markets, indicating a contagion between them during the full sample and the subperiods. The volatility structure of these markets is dominated by short-run volatility in the first period and by high long-run volatility in the second period. The volatility impulse response analysis indicates a similar volatility transmission pattern although it is characterized by a more volatile and short-lived structure in the second period. It also appears that the Islamic equity market responds to shocks from the risk factors and not from the oil price and the US economic policy uncertainty index during both periods.     

Implied correlation indices and volatility forecasting

Implied volatility indices are an important measure for ‘market fear’ and well-known in academia and practice. Correlation is still paid less attention even though the CBOE started to calculate implied correlation indices for the S&P500 in 2009. However, the literature especially on cross-country dependencies and applications is still quite thin. We are closing this gap by constructing an implied correlation index for the DAX and taking a deeper look at the (intercontinental) relationship between equity, volatility and correlation indices. Additionally, we show that implied correlation could improve implied volatility forecasting.     

Effects of explicit FOMC policy-rate guidance on equities and risk measures

We quantify the impact of explicit Federal Open Market Committee (FOMC) policy-rate guidance used as an unconventional monetary-policy tool at the zero lower bound of the policy rate on US equity prices, as well as on the risk indicators of credit and CDS spreads, implied volatilities and US equity index risk reversals. We find that explicit FOMC policy-rate guidance announcements at the zero lower bound led to a significant increase in US equity prices, for an aggregate equity index as well as for US commercial bank and US nonfinancial equities. Moreover, we find that they led to a significant reduction in some credit spreads. They also led to a significant reduction in an implied volatility index for US government bonds, as well as in the absolute value of US equity risk reversals, implying a lower perceived risk attached to a large fall in the equity index.     

Equity market information and credit risk signaling: A quantile cointegrating regression approach

Investigating linkages between credit and equity markets, we consider daily aggregate U.S. CDS spreads as well as well-chosen equity market and implied volatility indexes over ten years. We describe such robust (to spurious correlation) relationship with the quantile cointegrating regression approach. Such approach handles extreme quantiles/CDS values and their behavior with respect to the equity market's influence. Heteroskedastic patterns such as time-varying variance, but also autocorrelation, skewness and leptokurtosis are captured. Thus, the sensitivity of aggregate CDS spreads to equity market price and volatility channels is accurately measured across quantiles and spreads. Such quantile-dependent sensitivity exhibits asymmetric responses to equity market shocks. A sub-period analysis investigates potential regime shifts in estimated quantile cointegrating regressions. Quantile cointegrating coefficients vary over time and quantiles, and exhibit different magnitudes across sub-periods and spreads. Therefore, the relationship is unstable over time. We also propose a scenario analysis and risk signaling application for credit risk management prospects. Under specific risk levels, credit risky situations are described conditional on the equity market's information over time, and related expected aggregate CDS spreads are computed. Estimated conditional quantiles/CDS spreads act as credit alert triggers.     

The Impact of Euro on Sectoral Equity Returns and Portfolio Risk

This paper examines the implications of the adoption of the euro and the resulting monetary policy integration for investors in the Euro area in terms of stock market diversification. In particular, we study the difference between investment strategies based on country indices and on sector indices. In addition, we use GARCH-M to model return and volatility for the daily sectoral euro equity indices from 1992 to 2009 to analyze how and to what extent volatility in the sector equity index is driven by shocks occurring in the US, aggregate European equity index, aggregate Euro Zone equity index, and the global equity index. We find strong evidence that diversification over sectors yields more efficient portfolios than diversification over countries and that the volatility spillover of the aggregated Euro zone equity return index on the sectoral equity return index has increased after the launch of the euro.     

S&P 500 volatility,volatility regimes,and economic uncertainty

We assess the relationship between regime-dependent volatility in S&P 500, economic policy uncertainty, the S&P 500 bull and bear sentiment spread (bb_sp), as well as the Chicago Board Options Exchange's VIX over the period 2000–2018. Our findings from two-covariate GARCH–MIDAS (GM) methodology, regime switching Markov Chain, and quantile regressions suggest that the association of realized volatility and sentiment varies across high- and low-volatility regimes and depends on investors’ sensitivity toward incidents of market uncertainties under these regimes. The findings suggest that these indicators may not be useful in volatility forecasting, especially under high-volatility regimes.     

金融危机背景下银行类股票β值及其稳定性的实证检验

在金融研究中,风险和收益、个股与整个股市的波动一直是人们最为关注的问题。特别是在2007年8月美国次贷危机迅速蔓延后,各个公司更加重视股市波动的研究,以求最大限度地规避风险、获得最大收益。在金融研究中,人们通常用期望值表示收益,用方差和标准差来衡量风险。而在两者的关系研究中,资本资产定价模型反映了均衡状态下单个证券的预期回报与其相对市场风险值之间的关系,也描述了证券的风险溢价与市场组合风险溢价之间的关系。选择金融危机迅速传播后的2007年8月到2011年10月21日为研究时间段,选择上海证券交易所A股市场的浦发银行（600000）等14只银行类股票为研究对象,确定它们的值,研究银行类股票与整个股市波动的相关性,说明它们的风险溢价与市场组合风险溢价之间的变动关系。考虑到在所选时间段中,2010年3月开展的融资融券业务可能会对股票值的稳定性有所影响,因此,在求出这些股票的值后,还对这些股票值的稳定性进行了Chow检验。     

(Un)Conventional monetary policy and bank risk-taking: A nonlinear relationship

This paper investigates the effect of monetary policy - especially unconventional monetary policy - on bank risk-taking behavior in Europe over the period 2000–2015. Using a dynamic panel model with a threshold effect, we estimate this effect on two measures of bank risk: the Distance to Default, which reflects the market perception of risk, and the asymmetric Z-score, which corresponds to an accounting-based measure of the risk. We find that loosening monetary policy (via low interest rates and increasing central banks' liquidity) has a harmful effect on banks’ risk, confirming the existence of the risk-taking channel. Moreover, we show that this relationship is nonlinear, i.e., with the sustainable implementation of unconventional monetary policies, the effects are stronger below a certain threshold.     

Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States*

We use a 12‐dimensional VAR to examine the aggregate effects of two structural technology shocks and two policy shocks. For each shock, we examine the dynamic effects on the labor market, the importance of the shock for labor market volatility, and the comovement between labor market variables and other key aggregate variables in response to the shock. We document that labor market indicators display “hump‐shaped” responses to the identified shocks. Technology shocks and monetary policy shocks are important for labor market volatility but the ranking of their importance is sensitive to the VAR specification. The conditional correlations at business cycle frequencies are similar in response to the four shocks, apart from the correlations between hours worked, labor productivity and real wages. To account for the unconditional correlations between these variables, a mixture of shocks is required.     

我国资产价格波动与货币政策关系研究

随着金融自由化的逐步推进,资本市场存量日益增大.这既体现了金融深化程度的提高,又意味着货币供应与国民经济主要指标之间稳定性的弱化.资产价格对货币政策的制订和执行会产生深刻的影响.其中股价、房价等资产价格在货币政策传导机制中扮演的角色越来越重要.本文从实证角度出发,通过构建VAR模型检验我国资产价格对货币政策的反应以及资产价格对货币政策目标的影响,发现资产价格、货币政策及货币政策目标间存在长期协整关系,资产价格对产出有正向冲击作用,股市显著影响通货膨胀,但房地产市场对通货膨胀推动作用不明显,资产价格受货币政策的冲击影响显著,其中股市对货币政策冲击的反应明显大于房地产市场.     

Financial market segmentation,stock market volatility and the role of monetary policy

We study a segmented financial markets model where only the agents who trade stocks encounter financial income risk. In such an economy, the welfare-maximizing monetary policy attains the novel role of redistributing the traders' financial market risk among all agents in the economy. In order to do that, optimal monetary policy reacts to financial market movements; it is expansionary in bad times for the financial markets and contractionary in good ones. In our quantitative exercise, a dividend shock generates different policy responses and consumption paths among the optimal and the 2% inflation targeting policy. The latter implies large distributional welfare losses and risk sharing losses of similar magnitude with those generated by business cycle fluctuations. In addition, the optimal monetary policy does not minimize stock price volatility and implies lower inflation volatility than other commonly used policies.     

数字金融对行业资源配置效率的实证研究 ——基于一级行业周收益率数据

为考察数字金融对证券市场不同行业的影响,从而为市场风险识别、标的估值及投资策略制定等提供客观的参考指标。同时,也为数字金融政策制定、市场监管提供重要的参考依据。利用A股市场过去十年一级行业周收益率数据,构建证券市场行业收益率及波动率对数字金融指数等变量的面板自回归模型,实证结果表明：数字金融与证券市场整体收益率呈正相关。数字金融的增长可以抑制市场波动率的增长。数字金融对传媒,电子,房地产,家用电器,计算机,汽车,通信等行业均具有较好的经济显著性和统计显著性。在长期,行业间收益差异有收敛迹象。数字金融促进行业的收益均衡,说明数字金融对行业资本配置效率的提升有正向作用。     

Study of the effect of a Financial Transaction Tax on the corporate cost of capital

We study the impact of a Financial Transaction Tax (FTT or Tobin Tax) on the corporate cost of capital. We consider the results on the impact of transaction costs on implied volatility and then use the utility maximization of a market-maker and its asymptotic solution. The FTT impact on volatility, in highly liquid equity option markets, is within two decimals (‘the tick value’) and is insignificant. The volatility impact is considerable for illiquid option markets especially long-dated equity options, used for the hedging of credit default swaps (CDS). The credit spread increase is computed using a structural model, and amounts between 30 and 60 basis points (b.p). per annum, for 5–20 year maturities, and a volatility level of 30%. The impact decreases with the corporation leverage ratio. We calibrate from the CDS market the implied volatility for six European corporations and find an increase in spreads by up to 60%. For a corporation with a 343 b.p. 5-year CDS spread, the increase amounts to 174 b.p. On the basis of this sample, the impact we find is between 5 and 20 times higher than the one computed in the study of Lendvai et al. which has been used by European Union authorities to assess the impact on the cost of capital.     

前瞻性货币政策反应函数在我国货币政策中的检验

本文在泰勒等西方学者对货币政策反应函数研究的基础上,构造一个适合我国国情的前瞻性货币政策反应函数,从市场利率(同业拆借利率)、管制利率(存贷款利率)以及两者利差三个层次,通过该反应函数对我国货币政策的实证检验结果发现,一方面,该反应函数能够很好地描述同业拆借利率、存贷款利率和两者利差的具体走势,能够为我国货币政策的制定提供一个参考尺度,以衡量货币政策的松紧。另一方面,检验结果表明,三个层次的利率对预期通胀率和预期产出的反应绝大多数都不足,这说明,我国货币政策是一种内在不稳定的货币政策。     

Monetary shocks and asymmetric effects in an emerging stock market: The case of China

In this paper, we study the effect of monetary shocks on the Chinese stock market over the period of 2005 to 2011 with the MSVAR–EGARCH model. The evidence suggests that Chinese monetary policies have significantly asymmetric effects on the stock market in different time periods and market cycles. The effects of shocks from interest rate and reserve rate vary across market cycles but effects from money supply and exchange rate do not. Empirical evidence from the non-linear model shows that monetary policy changes increase stock market volatility, even though these monetary policies are often aimed at stabilizing macro-economic activities. The evidence suggests that both the market conditions and the effects on stock markets should be taken into consideration in monetary policy design and implementation.     

Hedging and diversification across commodity assets

ABSTRACT

We investigate the conditional cross effects and volatility spillover between equity markets and commodity markets (oil and gold), Fama and French HML and SMB factors, volatility index (VIX) and bonds using different multivariate GARCH specifications considering the potential asymmetry and persistence behaviours. We analyse the dynamic conditional correlation between the US equity market and a set of commodity prices and risk factors to forecast the transmission of shock to the equity market firstly, and to determine and compare the optimal hedge ratios from the different models based on the hedging effectiveness of each model. Our findings suggest that all models confirm the significant returns and volatility spillovers. More importantly, we find that GO-GARCH is the best-fit model for modelling the joint dynamics of different financial variables. The results of the current study have implications for investors: (i) the equity market displays inverted dynamics with the volatility index suggesting strong evidence of diversification benefit; (ii) of the hedging assets gold appears the best hedge for the US equity market as it has a higher hedge effectiveness than oil and bonds over time; and (iii) despite these important results, a better hedge may be obtained by using well-selected firm sized and profitability-based portfolios.     

Volatility spillovers of unconventional monetary policy to emerging market economies

Emerging market economies (EMEs) have experienced waves of market volatility since the global financial crisis, with some commentators ascribing this at least partly related to monetary policy decisions in advanced economies. This paper examines volatility spillovers from changes in the size of the balance sheets of the Federal Reserve (FED) and European Central Bank (ECB) to EMEs from 2003 to 2018. We find that volatility spillovers to EME currency markets are greater in magnitude from the FED, while EME stock and bond markets are also vulnerable to volatility spillovers in a similar magnitude from both the ECB and the FED. We find only limited evidence of volatility transmission to the real economy of EMEs following the monetary policy actions of the FED and ECB. Finally, we show that the proportion of the volatility in EMEs that is accounted for by changes in FED and ECB balance sheets shifts over time. Our paper has important policy implications for EMEs, notably in respect of volatility transmission channels.     

Fiscal policy and asset price volatility

This paper investigates the relationship between volatility of different asset prices and the volatility of various indicators of fiscal policy (primary balance, spending and revenue). We find evidence that asset price volatility affects the volatility of fiscal policy stance in a positive and significant way. The effect comes primarily through residential property and equity price volatility on government revenue and spending. Increased volatility in commercial property prices is associated with increased variability of government revenue. Output growth volatility is the dominant determinant of revenue and primary balance variability, whereas bad budgetary conditions and the size of the public sector are the most significant determinants of spending variability. Trade openness leads to greater variability of government spending, revenue and primary balance to GDP ratios.     

House price,mortgage premium,and business fluctuations

This paper investigates the transmission mechanism of mortgage premium to characterize the relationship between the housing market and business cycle for the U.S. We find that mortgage premium is crucial for the amplification and propagation of the model to match the main properties of U.S. housing market and business cycles. The counterfactual analysis suggests that had the Federal Reserve raised the interest rate in 2003Q1, it would have curbed the housing market boom before the crisis, yet failed to alleviate the precipitous decline in housing market activity after the crisis. Moreover, the pre-emptive monetary policy aimed to contain the housing market boom can effectively lower volatilities of major economic aggregates; however, it also exerts a significantly negative effect on the levels of these economic aggregates. Thus, using monetary policy to stabilize asset price inflation involves a trade-off between the volatility and the level of economic activity.