Housing, credit, and real activity cycles: Characteristics and comovement

This paper describes the characteristics and comovement of cycles in house prices, residential investment, credit, interest rates, and real activity in advanced economies during the past 25 years. Stylized facts and regularities are uncovered using a dynamic generalized factor model and spectral techniques. House price cycles are found to lead credit and real activity over the long term, while in the short to medium term the relationship varies across countries. Interest rates tend to lag other cycles at all time horizons. Although global factors are important, the US business cycle, housing cycle and interest rate cycle generally lead the respective cycles in other countries over all time horizons, while the US credit cycle leads mainly over the long term.     

THE INFLUENCE OF FUNDAMENTALS ON EXCHANGE RATES: FINDINGS FROM ANALYSES OF NEWS EFFECTS

Abstract As we survey the literature of macroeconomic news in the foreign exchange market, we can by now look back on nearly 30 years of research. The first studies which analysed news effects on exchange rates were established in the early 1990s (see, for example, Dornbusch). Almost at the same time Meese and Rogoff published their influential paper, revealing the forecasting inferiority in exchange rates of structural models against the random walk. This finding has shocked the pillars of exchange rate economics and thus cast general suspicion on research focusing on fundamentals in this field. The eventual rising popularity of event studies can partly be attributed to the re‐establishment of the raison d’être of exchange rate economics. This work focuses on systematically surveying this literature with particular respect to its primary goal, i.e. shedding light on the analytical value of fundamental research. Thus, its major findings are, first, fundamental news does matter, whereas non‐fundamental news matters to a lesser degree. Second, news influences exchange rates via two separated channels, i.e. incorporating common information into prices directly or indirectly based upon order flow. Third, with a few exceptions the impact of fundamental news on exchange rates is fairly stable over time.     

Oil prices,stock returns,and exchange rates: Empirical evidence from China and the United States

Employing the diagonal BEKK model as well as the dynamic impulse response functions, this study investigates the time-varying trilateral relationships among real oil prices, exchange rate changes, and stock market returns in China and the U.S. from February 1991 to December 2015. We highlight several key observations: (i) oil prices respond positively and significantly to aggregate demand shocks; (ii) positive oil supply shocks adversely and significantly affect the Chinese stock market; (iii) oil price shocks persistently and significantly impact the trade-weighted US dollar index negatively; (iv) the US and China stock markets correlate positively just as the dollar index and the exchange rate does; (v) a significant parallel inverse relation exists between the US stock market and the dollar and between the China stock market and the exchange rate; and (vi) the Chinese stock market is more volatile and responsive to aggregate demand and oil price shocks than the US stock market in recent years.     

The influence of international oil price fluctuation on the exchange rate of countries along the “Belt and Road”

In recent years, the international crude oil price has become increasingly volatile. It influences the exchange rate changes of relevant countries through economic growth, price level, international balance of payments, and other channels. Such exchange rate fluctuations have caused certain risks for the development of China’s “Belt and Road” Initiative. This article analyzes the impact of oil price changes on the exchange rates of countries. Because the fluctuation of oil prices and exchange rates has shown the characteristics of multiple time scales, this study used the empirical mode decomposition (EMD) method to obtain the long-cycle and short-cycle sequences of oil prices and the exchange rates of various countries, then analyzed the impact of oil price changes on exchange rates under different time scales. The results showed that oil price fluctuations have an impact on the exchange rate changes of countries along the “Belt and Road” under different time scales. However, this effect is asymmetric between oil-producing countries and non-oil-producing countries, and the transmission path of oil prices to exchange rates varies from cycle to cycle.     

人民币汇率:缓解升值压力,加快制度改革

近一段时间人民币汇率在内外因的共同作用下升值压力巨大,盯住美元的固定汇率制度已经不符合当前中国的经济形势,但是完全放开人民币汇率让其自由浮动在现有条件下也是行不通的,以市场供求为基础的有管理的浮动汇率制度才是目前的最佳选择。     

News effects in a high-frequency model of the sterling-dollar exchange rate

This paper uses an extremely high frequency data set on the dollar-sterllng exchange rate to investigate the impact of news events on the very short-term movements in exchange rates. The data set is a continuous record of the quoted price for the exchange rate on the Reuters screen. As such it records some 130,000 observations over an 8-week period. The paper investigates the time-series properties of the data using orthodox regression models, and then by making allowance for a time-varying conditional variance. The conclusions vary significantly in moving to this more sophisticated model. The exercises are repeated now incorporating news announcement effects, letting these affect the level of the exchange rate and then the conditional variance process. Again it is found that the conclusions are radically altered in moving to the increasingly sophisticated model.     

人民币实际有效汇率的分解和马歇尔—勒纳条件的修正

马歇尔-勒纳条件是探讨货币贬值改善贸易收支的规律,本文根据人民币实际有效汇率的特点,把它分解为美元有效汇率和人民币对美元汇率之积形式,在此基础之上,本文重新考察货币贬值改善贸易收支的条件,对传统的马歇尔-勒纳条件进行修正。从我们研究中可以看出美元实际有效汇率变化对马歇尔-勒纳条件修正的重要作用,这包括美元有效汇率对人民币汇率弹性和人民币在美元有效汇率中的权重的两种影响。另一方面,即使人民币实际有效汇率贬值存在“J”曲线效应,人民币对美元实际汇率贬值,“J”曲线是否存在还要依赖一定的条件。本文实证研究结果显示出口（或进口）与人民币对美元实际汇率、美元实际有效汇率指数和外国收入（或国内收入）之间存在着显著的协整关系,美元实际有效汇率和人民币对美元实际汇率也存在显著的协整关系。从弹性的变化来看,修正的马歇尔-勒纳条件成立,同时人民币对美元实际汇率贬值有利于改善贸易收支,美元实际有效汇率贬值会恶化中国贸易收支。而对“J”曲线效应的实证研究显示无论是人民币实际有效汇率,还是人民币对美元实际汇率贬值和美元实际有效汇率贬值,我国“J”曲线效应均不显著。     

汇率变动对我国商品贸易结构影响研究

汇率作为相对价格和政策变量,具有引导贸易流向和调整贸易结构的作用。由于汇率变动引起生产中所使用要素相对价格发生变化,从而改变一国生产某类商品比较优势程度发生变化,使统一汇率政策可以成为差别产业贸易政策。本文从我国进出口商品贸易结构以及贸易国别来源角度分析人民币汇率改制后我国进出口商品贸易结构变化。采用实证方法考察人民币实际汇率变动对我国进口和出口商品贸易结构的影响。     

Dynamics of quote and deal prices in the foreign exchange market

We empirically investigate price fluctuations of yen-dollar exchange rate using the high-frequency data recorded in the electronic broking system for seven-year period. The distribution of quote price changes has symmetric fat-tails approximated by a power law; however, that of deal price is asymmetrical. The autocorrelation function and diffusion of price changes indicate that quote price exhibits anti-correlation feature in short time scale, whereas deal price is essentially uncorrelated. The bid-ask spread shows power-law distribution and long range temporal correlations similar to that observed in absoute price changes.      

The relative size of exchange rate and interest rate responses to news: An empirical investigation

This paper examines the relative size of the effects of macroeconomic news on the spot exchange rate, and interest rate differentials (2- and 5-year swap rate differentials), and the synthetic forward exchange rate schedule, for the high-frequency New Zealand data. We find that the spot exchange rate and 5-year swap rates respond by a similar magnitude to monetary surprises, implying there is little response of the forward exchange rate to this type of news. In contrast, the spot exchange rate responds by nearly three times as much as 5-year interest rates to CPI and GDP surprises, implying that forward rates appreciate to higher than expected CPI or GDP news. This is in contrast to standard theoretical models and US evidence. Lastly, we show that exchange rates but not interest rates respond to current account news. The implications of these results for monetary policy are considered.     

The impact of oil price changes on selected macroeconomic indicators in Azerbaijan

We examine the relationship between oil price fluctuations and economic activity in Azerbaijan using vector autoregressive models for the period 2002Q1–2018Q4. Our key results are as follows. First, growth in the gross domestic product (GDP) decreases after oil price innovations in the oil and gas sector and in the remainder of the economy. Downturns (upswings) in the oil and gas sector also prompt downturns (upswings) in the non-oil sector as fluctuations in oil revenues affect the government's capacity to subsidize the rest of the economy. Second, oil price innovations also lead to higher inflation in Azerbaijan. In response to the required tightening of monetary policy, the manat appreciates against the US dollar. Finally, GDP effects are primarily seen after oil price increases, whereas the interest rate and the exchange rate mainly react to decreases. Inflation increases after both types of shocks, due to either the accommodative monetary policy stance in the case of oil price decreases or the shock itself in the case of increases.     

Jumps,cojumps and macro announcements

We use recently proposed tests to extract jumps and cojumps from three types of assets: stock index futures, bond futures, and exchange rates. We then characterize the dynamics of these discontinuities and informally relate them to US macroeconomic releases before using limited dependent variable models to formally model how news surprises explain (co)jumps. Nonfarm payroll and federal funds target announcements are the most important news across asset classes. Trade balance shocks are important for foreign exchange jumps. We relate the size, frequency and timing of jumps across asset classes to the likely sources of shocks and the relation of asset prices to fundamentals in the respective classes. Copyright © 2010 John Wiley & Sons, Ltd.     

News shock,firm dynamics and business cycles: Evidence and theory

The literature of expectation-driven business cycles has overlooked the role played by endogenous entry. This paper documents empirically news shock as a major source of fluctuations in firm dynamics and comovement between firm entry and GDP using structural vector auto-regressions. We then develop a tractable dynamic stochastic general equilibrium model to study the propagation mechanism assuming fixed operating costs for incumbents and decreasing survival rates for entrants. Our quantitative prediction closely matches the positive comovement between firm entries and core macroeconomic indicators upon news shock. These results remain robust at the sectoral level when the baseline model is extended to a two-sector setup.     

Neighborhood effect on stock price comovement

We investigate how the geographic distance between firms’ headquarters affects their stock price comovement. Our results show that a firm's stock return has stronger comovement with the returns of nearby firms than with those of distant firms. Being in the same state and/or in the same industry strengthens the return comovement, but does not substitute for the negative effect of geographic distance on price comovement. Firms of similar share price and size also show stronger return comovement, but these factors do not mitigate the negative distance impact. Consistent with investor home bias and neighborhood effect literature, our results suggest that investors’ preference for local stocks and their interactions lead to correlated trading in local stocks and therefore stronger local price comovement.     

Sectoral Effects of News Shocks

This paper argues that an aggregate news shock reveals news about technological improvements in the durable goods sector. Better technological prospects translate into large responses of the fundamentals in the durable goods sector; much larger than the responses of the fundamentals in the non‐durable goods sector. These better technological prospects, contrary to common belief, do not induce short‐run comovement among fundamentals within either of the two sectors. The behaviour of inventories, an important margin that durable goods producers can use to buffer news shocks, proves to be crucial for reconciling the effects of news shocks in a two‐sector model with the data.     

A multivariate unobserved component analysis of US housing market

This study explores price dynamics and price relationships in the US housing market with a focus on four regions: Northeast, Midwest, South, and West. It applies a multivariate state-space model to identify the common trends and common cycles in US regional markets. The study finds that the principal source of secular price variability in the Northeast and West markets is due to two common stochastic trends, while a large share of transitional price variability in the Northeast, West and Midwest originates from three common stochastic cycles. The study estimates the relationships between the common unobserved components and economic variables and finds that unemployment, federal funds rate, corporate default risk, economic expansion, unanticipated inflation in the construction market are significant underlying economic phenomena that impact the evolution of the common movements in both the short run and the long run housing dynamics. Authorship is equally shared between the authors.     

The international transmission channels of US supply and demand shocks: Evidence from a non-stationary dynamic factor model for the G7 countries

We employ a multi-country non-stationary dynamic factor model to assess spillover effects and transmission channels of US supply and demand shocks on a variety of macroeconomic variables in individual non-US G7 countries. We find that trade, financial and confidence channels all play a significant role in the international transmission of US shocks. However, the results point to substantial heterogeneities of shock transmission across the individual G7 economies. In particular, we find negative transmission effects for Italy and Japan as the only two G7 countries not well integrated into global value chains. Moreover, the exchange rate responses of Germany, France and Italy turn out to be far less pronounced in comparison to the other G7 economies which we relate to their membership of the euro area and their coordinated monetary policies prior to the establishment of the euro. Whereas we document a close comovement of stock market dynamics across the G7 countries, we find credit and real estate markets to be less synchronized. We do not find the effects and transmission channels to be fundamentally affected by the post-2008 economic environment.     

Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets

This paper investigates the comovement and tail dependence between Chinese Yuan and New Taiwan Dollar non-delivery forward (NDF) rates against the U.S. dollar. We adopt the copula modeling approach to capture dynamics of correlation and tail dependence between two NDF rates. It is shown that the interdependence between two NDF rates strengthens as time elapses. In particular, the degree of correlation surges sharply after April 9, 2008 while the degree of tail dependence increases significantly after February 10, 2009. Each time point of change is shown to be close to economic and political events that are supposed to have a large impact on the relationship between Chinese Yuan and New Taiwan Dollar.     

汇率波动对外商直接投资的影响 ——基于知识资本模型从产业角度的实证检验

本文运用知识资本模型分别从国别和产业的角度对汇率波动与国际直接投资(FDI)进行实证检验。该模型考虑到资源禀赋对FDI的影响,并将FDI细分为垂直型和水平型;同时,为了使计量更加精确,本文还将模型中汇率的波动分解为一价定律失效导致的波动和不可解释的原因导致的波动;最后,本文还检验了美元盯住制对FDI的影响。结果发现,东道国货币贬值是否有利于吸引FDI取决于该国FDI是以水平型还是垂直型为主,同时,美元盯住制对FDI没有促进作用。     

The US Antitrust System and Recent Trends in Antitrust Enforcement

This paper provides a survey of recent research on the US antitrust system. First we provide an overview of the US antitrust system, describing the roles of the US Department of Justice, the Federal Trade Commission and case law. Second, we provide a new econometric trend analysis on the enforcement of US antitrust law, showing that (1) enforcement demonstrates some trend behavior, as well as comovement with business cycles; (2) the time series of antitrust cases demonstrates two distinct episodes, which we characterize as 'pre-deregulation' and 'post-deregulation;' (3) the time series of government antitrust filings leads the time series of private antitrust filings. Finally, we describe recent economic research relevant to the area of antitrust and the impact of this research on US antitrust policy.