Inflation and output volatility under asymmetric incomplete information

The assumption of asymmetric and incomplete information in a standard New Keynesian model creates strong incentives for monetary policy transparency. We assume that the central bank has better information about its objectives than the private sector, and that the private sector has better information about shocks than the central bank. Transparency has the potential to trigger a virtuous circle in which all agents find it easier to make inferences and the economy is better stabilised. Our analysis improves upon existing work by endogenising the volatility of both output and inflation. Improved transparency most likely manifests itself in falling output volatility.     

The effect of transparency on output volatility

Previous research has shown that democracies, on average, produce more stable output than non-democracies. In this paper, I argue that it is the political and economic transparency that arises out of democracies that leads to this relative stability in output growth, because the ability of a country to adjust and adapt to shocks, be they internal or external, is more pronounced in countries where the flows of information are better. Using data from 1980–2009, I show that once transparency is incorporated into the analysis democracy actually appears to increase volatility, whilst transparency is seen to have a significant dampening effect on volatility. This result is remarkably robust to the inclusion of many additional variables, alternative definitions of democracy and model specifications.     

Production management, output volatility, and good luck

This paper models the scale of the technology shocks as a decision variable whose value is determined by the production manager. It is shown that smaller shocks enhance profit in several ways and thus the firm has an incentive to adopt more reliable production technologies. The adoption of these technologies may account for the “good luck” hypothesis in which the stabilization of Gross Domestic Product (GDP) since 1984 is attributed to smaller shocks. It differs from this hypothesis in two respects. First, the reduced volatility should be permanent. Second, the stabilization does not require smaller intrinsic shocks to the economy.     

Stock market volatility,the news,and monetary policy

The dynamic relationship linking the volatility of equity prices with “the news” and the expected path for monetary policy is investigated. Previous results that link the impact of the news about real activity to changes in current and future interest rates are employed in developing a positive link between changes in volatility and the news. Empirically, our results uncover a positive and statistically significant response of the CBOE volatility index, VIX, to unanticipated changes in employment, but not to inflation. Hence, agents' expectations for the policy response to news have an important influence on the expected volatility of stock prices. (JEL E44, E52)     

Input–output interactions and optimal monetary policy

This paper deals with the implications of factor demand linkages for monetary policy design in a two-sector dynamic general equilibrium model. Part of the output of each sector serves as a production input in both sectors, in accordance with a realistic input–output structure. Strategic complementarities induced by factor demand linkages significantly alter the transmission of shocks and amplify the loss of social welfare under optimal monetary policy, compared to what is observed in standard two-sector models. The distinction between value added and gross output that naturally arises in this context is of key importance to explore the welfare properties of the model economy. A flexible inflation targeting regime is close to optimal only if the central bank balances inflation and value added variability. Otherwise, targeting gross output variability entails a substantial increase in the loss of welfare.     

Monetary policy implications of volatility linkages among long-term interest rates

This paper investigates the implications for monetary policy from the increasing integration of capital markets using interest rates. The methodology is a multivariate EGARCH model, which captures the spillover mechanism across markets. The results indicate that since 1990 there have been stronger volatility linkages among markets. Evidence that globalization has influenced the behavior of interest rates is suggested from the way disturbances in a market spill over to other markets, thereby affecting the monetary policy conduct in all markets. As investors now have more information about global bonds, their concerted actions generate more volatility as they continuously rebalance their portfolios.     

Monetary policy rules for convergence to the Euro

This paper investigates the applicability of open-economy convergence-consistent instrument rules for monetary policies in the economies undergoing monetary convergence to a common currency area. The proposed policy rule is forward-looking, consistent with a monetary framework based on inflation-targeting containing input variables that are relative to the corresponding variables in the common currency area. Robust forms of the policy rule are tested empirically for three inflation-targeting countries converging to the euro, i.e. the Czech Republic, Poland and Hungary. Empirical tests imply systemic differences in monetary policies among these euro-candidates. The Czech monetary policy seemingly follows the rule prescribed by our model. Both the Czech and the Polish central bank interest rate policies respond predominantly to changes in the inflation gap, while the Hungarian responds mainly to the exchange rate gap. In all three cases, changes in the eurozone short-term interest rates strongly drive adjustments in the central banks’ reference interest rates.     

Decomposing productivity patterns in a conditional convergence framework

In this study we examine regional data on per worker GDP, disaggregated at sectoral level, by focusing our interest on the role of differences in the sectoral composition of activities, and in productivity gaps that are uniform across sectors, in explaining the catching-up process, which is realized through physical and human capital as well as technological knowledge accumulation. Our objective is to investigate how much of the interregional inequality in aggregate productivity per worker is imputable to each component. A methodology for identifying and analyzing sources of inequality from a decomposed perspective is developed in the growth framework by combining a shift-share based technique and a SUR model specification for the conditional-convergence analysis. The proposed approach is employed to analyze aggregate interregional inequality of per worker productivity levels in Italy over the period 1970–2000. With respect to the existing empirical results, our approach provides a more comprehensive and detailed examination of the contribution of each identified component in explaining the regional productivity gaps in Italy. It is argued that region-specific productivity differentials, uniform across sectors, explain a quite large share of differences in productivity per worker. However, sectoral composition plays a non negligible role, although decreasing since the end of 1980s, and very different productivity patterns emerge within geographical areas.

Environmental responsibility and policy in a two-country dynamic input–output model

Increased spatial dependency of economic activities, as well as spatial differentiation of production and consumption, has implications for environmental policy. One of the issues that has gained importance is the responsibility for the emissions from products that cross national boundaries during the environmental policy's lifetime. This paper discusses the different ethical views of environmental responsibility. Furthermore, the policy measures that are associated with the different viewpoints are analyzed in a novel dynamic two-country two-sector dynamic input–output model. A numerical example is modeled to assess taxing schemes that are based on these ethical viewpoints. The results show that a tax on the ‘embodied’ environmental pressure, which is generally viewed as ethically preferable, is less effective that the current policy of taxing consumers of products. Our discussion however shows that these results are very dependent on the model structure and initial parameters that are used. Nevertheless, the model illustrates that policies that are based on ethically superior standpoints may have detrimental distortionary effects in the dynamic setting.     

Alternation of parties in power and economic volatility: testing the rational partisan hypothesis and policy learning hypothesis

Right and left parties have distinct macroeconomic preferences that could create different levels of volatility during their executive tenures. But rational partisan theory argues that, because actors in the economy anticipate ruling party behavior, partisan differences only matter when election outcomes are uncertain. We argue that policy risk from ruling parties extends beyond elections, leading to important variation in growth volatility that occurs during a ruling party’s tenure. Building on theories of policy risk and learning, we argue that after elections, economic actors still face uncertainty about the policies of new ruling parties. With time in power, new ruling parties build policy track records, reducing policy risk and, thus, volatility. We estimate a learning curve model of ruling party duration’s effect on the variation in quarterly GDP growth rates. Using data from 44 democracies between 1981 and 2009, we find that learning processes extend beyond the conclusion of uncertain elections.     

人民币汇率的三元悖论最优解动态模型探讨

通过建立政府最小损失成本模型,讨论随着资本流动状态的改变,三元悖论最优解的确定及动态变化过程.研究表明,中间状态的政策目标可以实现最优解,但随着资本自由流动程度的变化各个政策目标会收敛于角点解.     

Finance-neutral potential output: An evaluation in an emerging market monetary policy context

In this paper, output gaps that include financial cycle information are evaluated against policy analysis models used by the Colombian central bank. This is an important feature, since policy-related models are the only relevant yardstick and emerging economies (such as Colombia) have been historically more vulnerable to financial imbalances. Unlike previous works, finance-neutral gaps were evaluated in a monetary policy context exactly as it is routinely performed by a central bank. The distribution of output gap revisions is analyzed and a metric to compare real-time robustness across models is developed. This metric constitutes a novel way to summarize the distribution of real-time uncertainty around output gaps, and policymakers should employ it for comparison purposes. Also, the real-time policy performance of finance-neutral gaps is studied, separating suggested ex post from operational ex ante usefulness. The results suggest that finance-neutral gaps are neither more robust in real time nor more operationally useful than the benchmark estimates. These results have important implications for policymakers and for the relevant literature.     

Asset price volatility and banks

This paper examines the operation of Diamond–Dybvig banks when depositors have access to the asset market. Previous studies have shown that banks are redundant in this environment since it is impossible to prevent the strategic withdrawals. This paper shows that the strategic withdrawals can be prevented if the market risk, due to asset price volatility, is considered. Banks provide deterministic returns to the depositors since the aggregate withdrawals are predictable, and therefore, banks can choose the portfolio such that no asset liquidation is involved. However, an individual consumer with stochastic liquidity need is vulnerable to the price volatility if he holds the asset directly. Therefore, banks improve the consumers’ welfare by providing the insurance against not only the liquidity shock but also the market risk. Banks are not redundant.     

人民币汇率波动对NFDI波动的影响及其检验

本文通过对我国NFDI资本流动性及其波动性的计算,检验了人民币/美元汇率波动对NFDI波动性的关系。通过实证分析表明,人民币汇率的波动将导致NFDI资本流动的明显不稳定。在理论研究的基础上,引申出其政策含义：在国际资本流动不断加大的今天,我们必须维护人民币/美元汇率的稳定,这样对于有效引导NFDI的资本流动和维护金融稳定都具有重要的意义。     

Day trading and stock price volatility

When an investor buys and sells the same stock on the same day, he is said to have made a day trade. Using the trading records of Finnish traders, this paper examines whether day trading is related to volatility of stock prices. I find a strong positive time-series relation between the number of day trades by individual investors and intraday volatility among heavily day traded stocks. This effect is robust after controlling for a previously documented volume–volatility relation. The result suggests that the joint hypothesis of price pressure and volatility induced day trading dominates the liquidity effects of day trading.     

International market links and volatility transmission

This paper gauges volatility transmission between stock markets by testing conditional independence of their volatility measures. In particular, we check whether the conditional density of the volatility changes if we further condition on the volatility of another market. We employ nonparametric methods to estimate the conditional densities and model-free realized measures of volatility, allowing for both microstructure noise and jumps. We establish the asymptotic normality of the test statistic as well as the first-order validity of the bootstrap analog. Finally, we uncover significant volatility spillovers between the stock markets in China, Japan, UK and US.     

Realized volatility forecasting and option pricing

A growing literature advocates the use of microstructure noise-contaminated high-frequency data for the purpose of volatility estimation. This paper evaluates and compares the quality of several recently-proposed estimators in the context of a relevant economic metric, i.e., profits from option pricing and trading. Using forecasts obtained by virtue of alternative volatility estimates, agents price short-term options on the S&P 500 index before trading with each other at average prices. The agents’ average profits and the Sharpe ratios of the profits constitute the criteria used to evaluate alternative volatility estimates and the corresponding forecasts. For our data, we find that estimators with superior finite sample Mean-squared-error properties generate higher average profits and higher Sharpe ratios, in general. We confirm that, even from a forecasting standpoint, there is scope for optimizing the finite sample properties of alternative volatility estimators as advocated by Bandi and Russell [Bandi, F.M., Russell, J.R., 2005. Market microstructure noise, integrated variance estimators, and the accuracy of asymptotic approximations. Working Paper; Bandi, F.M., Russell, J.R., 2008b. Microstructure noise, realized variance, and optimal sampling. Review of Economic Studies 75, 339–369] in recent work.     

Aggregate volatility expectations and threshold CAPM

We propose a volatility-based capital asset pricing model (V-CAPM) in which asset betas change discretely with respect to changes in investors’ expectations regarding near-term aggregate volatility. Using a novel measure to proxy uncertainty about expected changes in aggregate volatility, i.e. monthly range of the VIX index (RVIX), we find that portfolio betas change significantly when uncertainty about aggregate volatility expectations is beyond a certain threshold level. Due to changes in their market betas, small and value stocks are perceived as riskier than their big and growth counterparts in bad times, when uncertainty about aggregate volatility expectations is high. The proposed model yields a positive and significant market risk premium during periods when investors do not expect significant uncertainty in near-term aggregate volatility. Our findings support a volatility-based time-varying risk explanation.