Mismatch Shocks and Unemployment During the Great Recession

We investigate the macroeconomic consequences of fluctuations in the effectiveness of the labor market matching process with a focus on the Great Recession. We conduct our analysis in the context of an estimated medium‐scale dynamic stochastic general equilibrium model with sticky prices and equilibrium search unemployment that features a shock to the matching efficiency (or mismatch shock). We find that this shock is not important for unemployment fluctuations in normal times. However, it plays a somewhat larger role during the Great Recession when it contributes to raise the actual unemployment rate by around 1.3 percentage points and the natural rate by around 2 percentage points. The mismatch shock is the dominant driver of the natural rate of unemployment and explains part of the recent shift of the Beveridge curve. Copyright © 2016 John Wiley & Sons, Ltd.     

Time-frequency co-movements between oil prices and interest rates: Evidence from a wavelet-based approach

This paper investigates time–frequency co-movements between crude oil prices and interest rates. To test this relationship, the study applied a continuous wavelet and cross wavelet approaches to data from West Texas Intermediate (WTI) crude oil prices and interest rates in the United States (U.S.). Results from the sample period revealed significant relationships, in the intermediate term, between WTI crude oil prices and U.S. interest rates. Moreover, co-movements between oil price and interest rate variables were especially sensitive during abnormal political events and periods of financial ‘meltdown’. We further use Partial Wavelet Coherence (PWC) and Multiple Wavelet Coherence (MWC) methods to investigate the impacts of five major control variables namely GDP growth, unemployment, three-month Treasury bill, CPI index and industrial production index. The results show a powerful impact of control variables on oil-interest rates co-movements under different frequencies. Finally, we show evidence of co-integrating long run relationship between oil markets and control variables. These results have important implications for energy investors and policy makers.     

The relationship between oil prices,the stock market and the exchange rate: Evidence from Mexico

This paper analyzes the variables of oil price, exchange rate and stock market index to explain how they interact with each other in the Mexican economy. The examined period includes monthly data from January 1992 to June 2017. A Vector Autoregressive Model (VAR) is implemented that includes oil prices, the nominal exchange rate, the Mexican stock market index, and the consumer price index. Results indicate that the exchange rate has a negative and statistically significant effect on the stock market index; this indicates that an appreciation of the exchange rate is related to an increase in the stock market index. It is also found that the consumer price index has a positive effect on the exchange rate and a negative effect on the stock market index. The results also indicate that oil prices are statistically significant against the exchange rate, concluding that an increase in oil prices creates an appreciation of the exchange rate. In addition, the impulse-response functions show that the effects found tend to disappear over time.     

Macroeconomic influences on the stock market

The paper studies the dynamic interactions among indicators of economic activity, such as industrial production, interest rate and exchange rate, the performance of the foreign stock market, oil prices, and stock returns to examine whether economic activity movements affect the performance of the stock market for Greece. The empirical evidence suggests that stock returns do not lead changes in real economic activity while the macroeconomic activity and foreign stock market changes explain only partially stock market movements. Oil price changes explain stock price movements and have a negative impact on macroeconomic activity.     

Monetary effects on nominal oil prices

The paper presents a theory of nominal asset prices for competitively owned oil. Focusing on monetary effects, with flexible oil prices the US dollar oil price should follow the aggregate US price level. But with rigid nominal oil prices, the nominal oil price jumps proportionally to nominal interest rate increases. We find evidence for structural breaks in the nominal oil price that are used to illustrate the theory of oil price jumps. The evidence also indicates strong Granger causality of the oil price by US inflation as is consistent with the theory.     

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.     

Divergence in Reservation Prices and Its Impact on Housing Market Liquidity: A Theoretical Analysis

In this paper, we build a two-period English auction model to study the relative movements between buyers’ and sellers’ reservation prices in the housing market. We show that changes in sellers’ reservation prices are jointly determined by changes in buyers’ reservation prices, probability of buyers offering a high or low price, and the arrival rate of buyers. When the divergence between the buyers’ and sellers’ reservation prices widens, the probability of sale increases in the upward market and decreases in the downward market, contributing to the increases or decreases in market liquidity.     

Economic policy uncertainty,oil price volatility and stock market returns: Evidence from a nonlinear model

This paper investigates the nonlinear relationship between economic policy uncertainty, oil price volatility and stock market returns for 25 countries by applying the panel smooth transition regression model. We find that oil price volatility has a negative effect on stock returns, and this effect increases with economic policy uncertainty. Furthermore, there is pronounced heterogeneity in responses. First, oil-exporting countries whose economies depend more on oil prices respond more strongly to oil price volatility than oil-importing countries. Second, stock returns of developing countries are more susceptible to oil price volatility than that of developed countries. Third, crisis plays a crucial role in the relation between oil price volatility and stock returns.     

Oil prices,economic activity and inflation: evidence for some Asian countries

In this paper we study the oil prices–macroeconomy relationship by means of studying the impact of oil price shocks on both economic activity and consumer price indexes for six Asian countries over the period 1975Q1–2002Q2. The results suggest that oil prices have a significant effect on both economic activity and price indexes, although the impact is limited to the short run and more significant when oil price shocks are defined in local currencies. Moreover, we find evidence of asymmetries in the oil prices–macroeconomy relationship for some of the Asian countries.     

The London Business School with Gower Publishing

The theory of employment is reasonably well understood. Producers are confronted with a given level of aggregate demand. They decide how much they can profitably produce, and decide on the mix of capital and labour in response to a given set of relative prices. Over most of the post-war period variations in employment were accounted for mainly by variations in aggregate demand, but that situation changed dramatically during the 1970s. As unemployment has mounted, so has the interest in so-called supply-side explanations of the problem, since it has become obvious that an increase in employment on the scale required can hardly come from a demand stimulus alone. In our account of the 1980 recession, we tended to focus on profitability as a key element in the decision to supply. If the price of goods is too low relative to the price of the factors of production needed to produce them, then the supply of output will fall. In the 1980 recession the price of all the factors of production rose dramatically: real wages shot up following the Clegg awards; real interest rates were at record levels; and the price of energy had recently soared following the OPEC II oil shock. At the same time goods prices were being constrained by the government's counter-inflationary strategy, and most notably by a strong exchange rate. Under these circumstances a substantial proportion of firms, especially in the traded goods sector, found it unprofitable to continue producing. When unprofitable production lines were abandoned, the associated capital equipment was scrapped. These decisions, once taken, were for the most part irreversible even if, as must have happened in some cases, subsequent movements in factor prices would have made production profitable once again. We discussed this phenomenon in the April Forecast Release and showed that, on the assumption that capital-labour ratios had remained at their trend levels, some £25bn of capital equipment (at I980 prices) had been scrapped. The fact that manufacturing output and employment have remained far below their 1979 levels, even though total output at home and abroad is at or well above that level is, we believe, mainly due to this capital scrapping. The jobs in manufacturing will not be re-created - even though UK competitiveness has been restored to pre-1980 levels - until the capital stock is re-built. The scrapping phenomenon is important because it creates a link between employment and too-high real wages (or other factor costs) that is often ignored. In standard production theory a rise in real wages leads to the substitution of capital for labour and employment may fall (if the rive in real wages does not create a more than offsetting increase in aggregate demand). However, production theory is complicated by the fact that capital and labour are complements as well as substitutes. Since a large part of the nation's productive-capacity, once built, uses capital and labour in fixed proportions, a rise in real wages may render part of the existing capital stock uneconomic. High real wages thus destroy capital as well as jobs. In our April Forecast Release, in order to estimate the scale of the scrapping problem, we made the simplifying assumption that capital-labour ratios remained on trend. In practice they vary in line with movements in relative factor prices. In the present Forecast Release we look more closely at the role of factor prices. We find some evidence that changes in relative factor prices affect the capital-labour mix. However, the substitution elasticities are small. The conclusion of this analysis is that the job losses which resulted from too-high factor prices (mainly wages) during the recession cannot be quickly reversed.     

Explaining movements in UK stock prices

We examine movements in aggregate UK stock prices by decomposing the variance of unexpected real stock returns into components due to revisions in expectations of future dividends, discount rates, and the covariance between the two. The contribution of news about future discount rates is about four times that of news about future dividends, with no significant covariance between them. Our analysis of excess returns uncovers a positive covariance between news about dividends and news about real interest rates. Since these two elements have opposite effects on current stock prices, their combined effect is negligible. Persistence in expected returns, as well as predictability, are found to be important in explaining stock price movements.     

The asymmetric effect of crude oil prices on stock prices in major international financial markets

The aim of this paper is to explore the potential asymmetric impacts of positive and negative shocks in crude oil prices on stock prices in six major international financial markets which include China, Hong Kong, America, Japan, Britain, and Germany. We test for these asymmetric effects on 8 major international financial markets indices over the 2007M01–2020M03 periods. Our independent measures include the prices of Brent crude oil futures and West Texas Intermediate (WTI) futures. We use the nonlinear ARDL (NARDL) model proposed by Shin et al. (2014), which can capture both short- and long-run nonlinearities through positive and negative partial sum decompositions of the explanatory variables. This research finds that positive and negative fluctuations of oil price have asymmetric effects on stock price index in four financial markets, but the performance of the asymmetry is different. Specifically, the impacts of volatility in oil prices on two indices of Chinese stock prices are different, and the asymmetric effects of oil price volatility on stock price indices in China and other financial markets are significantly different.     

Investor sentiment and energy futures predictability: Evidence from Feasible Quasi Generalized Least Squares

Contributing to the budding literature on how emotional and sentimental actions impact the performance of financial markets, this study examines the predictability of energy futures prices with investors’ sentiments. In particular, we examine which of the three (neutral, bear and bull) investors’ sentiments offer accurate forecast information on four energy futures prices. Using the predictability test proposed by Westerlund and Narayan (2015), we discover that all the forms of investors’ sentiments are significant predictors of the movements in energy futures prices. However, the bear sentiments outshine other variants in the forecast of crude oil futures prices, while the bull sentiments provide the most accurate forecast information for the remaining energy futures prices, namely heating oil, gasoline and natural gas. We also find this evidence consistent even when asymmetries are considered in the predictability models. Among other implications of these findings, investors in energy futures and portfolio managers are expected to consider often emotional perceptions in their portfolio constructions and the predictability of future gains.     

The London Business School with Gower Publishing

Output has stagnated in the main industrialised countries this year but we expect the benefits of lower oil prices to show up in rapid growth from now on. The present weakness in the world economy stems from tighter US fiscal policy and the oil price shock itself. These have combined to reduce domestic demand in the United States, and hence to cut the market for Japanese exports in particular, and also to reduce expenditure by energydependent countries and companies. A further factor is that, with prices of oil-based products falling, there is an incentive to delay expenditure. We expect this impact effect of OPEC III to be short-lived and to give way to its positive effects in the second half of this year. Specifically, we expect consumer spending to lead the recovery as real incomes will be boosted by the terms of trade gain from lower oil prices - equivalent to 3 per cent of GNP in the OECD area as a whole. On the basis of oil prices holding at $15. we forecast OECD output growth of 3 per cent this year, rising to 41/2 per cent in 1987. Additionally, we expect lower oil prices to produce a significant reduction in world inflation. Zero growth of producer prices is forecast on average this year arid consumer price inflation is expected to fall to wards 2 per cent in the course of the year.     

Speculation in the Oil Market

The run‐up in oil prices since 2004 coincided with growing investment in commodity markets and increased price co‐movement among different commodities. We assess whether speculation in the oil market played a role in driving this salient empirical pattern. We identify oil shocks from a large dataset using a dynamic factor model. This method is motivated by the fact that a small‐scale vector autoregression is not informationally sufficient to identify the shocks. The main results are as follows. (i) While global demand shocks account for the largest share of oil price fluctuations, speculative shocks are the second most important driver. (ii) The increase in oil prices over the last decade is mainly driven by the strength of global demand. However, speculation played a significant role in the oil price increase between 2004 and 2008 and its subsequent collapse. (iii) The co‐movement between oil prices and the prices of other commodities is mainly explained by global demand shocks. Our results support the view that the recent oil price increase is mainly driven by the strength of global demand but that the financialization process of commodity markets also played a role. Copyright © 2014 John Wiley & Sons, Ltd.     

Empirical evidence on the reaction speeds of housing prices and sales to demand shocks

This article studies the co-movement and dynamics between price movements and transactions in the housing market using data for the period 1988–2008 from Finland. While the previous related literature examines the reactions of sales and prices to an interest rate shock only, this study investigates the responses to income and debt shocks as well. The empirical estimations show that the response of prices to demand shocks is substantially slower than that of sales. The estimated reactions of sales substantially differ from those reported in the earlier literature. The reaction patterns can create the kind of strong positive co-movement between price movements and sales volume and the kind of negative correlation between price level and sales that have been found in several housing markets.     

POST-BUDGET ASSESSMENT AND ANALYSIS OF OIL PRICE CHANGES

In this Forecast Release we update our February forecast to take account of the Budget and other new information, particularly about oil prices and the exchange rate. This updated forecast is then used as the basis for a set of three simulations in which we explore the consequences of lower oil prices, a fall in the exchange rate and a tightening of fical and monetary policy. The main conclusions are first that the Budget (the contentr of which we broadly anticipated) has not significantly changed our assessment of the short-term prospects for output and inflation. However, a detailed examination of the Government's revenue and expenditure estimates suggests that fiscal policy in 1983-4, though broadly in line with the Medium-Term Financial Strategy, has been loosened compared with 1982-3 by rather more than appears from the PSBR projections. We ako believe that there is a risk that the PSBR will be significantly higher than officially forecast in 1983-4.
Our simulations show the size of the PSBR overshoot in the event of a further sharp fall in the oil price. I f this were accompanied by a fall in the exchange rate, inflation would quickly be back in double figures. Whether the exchange rate falls or not a lower oil price gives significant output gains. However, if the authorities reacted by tightening fiscal and monetary policy, inflation would be broadly the same as in the Post Budget forecast, but there would still be output gains from the lower oil price.     

What drives returns to euro area housing? Evidence from a dynamic dividend–discount model

We apply a dynamic dividend–discount model to analyse housing returns for eight euro area countries comprising over 90% of euro area GDP, both individually and as a panel. A vector autoregressive model (VAR) is estimated for four variables – excess return to housing, rents, the real interest rate and real disposable per capita income – using quarterly data over the period 1978–2009. This empirical investigation – which allows for a decomposition of house price movements into movements in rent (cash-flow) and expected return news components – indicates that the bulk of the variability of euro area house price movements can be attributed to movements in fundamentals. There remains nonetheless an important but less sizeable influence of market-wide (or expected-return) variations in house prices. Country-specific estimation indicates considerable heterogeneity around the euro area result, both for what concerns long-term impacts and dynamics. Notably, changes in expected returns play a relatively strong role in the house prices of Ireland and Spain.     

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.     

Commodity house prices

This paper studies how commodity price movements have affected the local house prices in commodity-dependent economies, Australia and New Zealand. We build a geographically hierarchical empirical model and find that the commodity prices influence local house prices directly and also indirectly through macroeconomic variables. The impacts of commodity price changes are analogous to “income shocks” rather than “cost shocks”. Regional heterogeneity is also observed in terms of differential dynamic responses of local house prices to energy versus non-energy commodity price movements. The results are robust to alternative approaches. Directions for future research are also discussed.