What Drives Oil Prices? Emerging Versus Developed Economies

We explore the role of demand from emerging and developed economies as drivers of the real price of oil. Using a FAVAR model that identifies shocks from different regions of the world, we find that demand from emerging economies (most notably from Asian countries) is more than twice as important as demand from developed countries in accounting for the fluctuations in the real oil price and in oil production. Furthermore, geographical regions respond differently to adverse oil market shocks that drive up oil prices, with Europe and North America being more negatively affected than countries in Asia and South America. Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

List price and sales prices of residential properties during booms and busts

This paper investigates the relationship between the list and sale price of residential properties over the housing cycle. In down or normal markets the list price generally exceeds the sales price; however, when the housing market is strong, homes sell for more than their list price. This observation is not consistent with the assumptions made in the standard model of home sellers’ search behavior. We consider alternative models. In one, sellers set list prices based on their expectations of future changes in sales prices and the arrival rate of buyers; however, demand shocks occur. This model partially explains our data from the Belfast, U.K. housing market, but it fails to predict the list to sales price ratio during a sustained housing boom. We next describe a model where sellers’ endogenously select their search mechanism depending on the strength of the housing market. We find support for the conjecture that sellers switch to an auction-like model during housing booms. There also is evidence that during a downturn in the market, sellers’ list prices are sticky.     

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.     

A note on the impact of the internal organization on the accuracy of the information transmitted within the firm

We investigate the incentives of sales managers to transmit information on demand conditions to headquarters under different organizational structures and its subsequent impact on firm performance. When headquarters determine quantities of production, sales managers' interests are aligned with that of the firm, and reliable information is transmitted. On the other hand, when the authority of decision making on quantities of production is delegated to sales managers, they prefer not to transmit reliable information; consequently, headquarters set transfer prices given poor information about demand. Due to such difference in the quality of the information available to headquarters, a centralized organizational structure frequently leads to the best performance.     

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.     

SALES,INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS

We use Bayesian time‐varying parameter structural vector autoregressions with stochastic volatility to investigate changes in reduced‐form and structural correlations between inventories and either sales growth or the real interest rate in the USA during both the inter‐war and post‐World War II periods. We identify four structural shocks by combining a single long‐run restriction to identify a permanent output shock with three sign restrictions to identify demand‐ and supply‐side transitory shocks. We show that during both the inter‐war and post‐war periods the structural correlation between inventories and real interest rate conditional on identified interest rate shocks is systematically positive; the reduced‐form correlation between the two series is positive during the post‐war period, but in line with the predictions of theory it is robustly negative during the inter‐war era; during that era the correlations between inventories and either of the two other series exhibit a remarkably strong co‐movement with output at business cycle frequencies. Copyright © 2014 John Wiley & Sons, Ltd.     

Gasoline prices,transport costs,and the U.S. business cycles

The effects of gasoline prices on the U.S. business cycles are investigated. In order to distinguish between gasoline supply and gasoline demand shocks, the price of gasoline is endogenously determined through a transportation sector that uses gasoline as an input of production. The model is estimated for the U.S. economy using five macroeconomic time series, including data on transport costs and gasoline prices. The results show that although standard shocks in the literature (e.g., technology shocks, monetary policy shocks) have significant effects on the U.S. business cycles in the long run, gasoline supply and demand shocks play an important role in the short run.     

PRICE AND QUANTITY RESPONSES TO COST AND DEMAND SHOCKS*

ABSTRACT When prices are inflexible, real variables like production and inventories must bear the brunt of responding to cost and demand shocks. In these circumstances, one expects to observe rather more variation in quantities than in prices, and that is, in fact, what we observe in the data. To explain this observation, one must explain why prices are inflexible. Our goal in this paper is to ascertain whether it is selectivity in response to demand shocks or just a more extensive smoothing of prices than quantities which accounts for the relatively higher variation in quantities which we observe. We conclude that selectivity in response is clearly evident in the data: demand shocks have only very weak effects on prices, but they have substantial (if rather transitory) effects on quantities.     

Risk shocks and housing supply: A quantitative analysis

This paper analyzes the role of stochastic uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production and provide estimates of the time-series properties of risk shocks by using firm level productivity data. The analysis demonstrates that risk shocks to the housing production sector are a quantitatively important impulse mechanism for understanding housing price movements. Specifically, the model can match the volatility of housing prices observed in the data. It is also demonstrated that adjustment costs are important in replicating the contemporaneous correlation of housing prices with GDP and residential investment. Critically, bankruptcy costs act as an endogenous markup factor in housing prices and are an important determinant of house price volatility. However, in comparison to housing demand shocks, risk shocks have low explanatory power for real quantities.     

Macroeconomic Effects of Precautionary Demand for Oil

We evaluate the macroeconomic effects of shocks specific to the oil market, which mainly reflect fluctuations in precautionary demand for oil driven by uncertainty about future supplies. A two‐stage identification procedure is used. First, daily changes in the futures–spot price spread proxy for precautionary demand shocks and the path of oil prices is estimated. This information is then exploited to restrict the oil price response in a vector autoregression. Impulse responses suggest that such shocks reduce output and raise prices. Historical decomposition shows that they contributed significantly to the US recessions in the 1990s and in the early 2000s, but not to the most recent slump. Copyright © 2014 John Wiley & Sons, Ltd.     

The effects of fuel prices and vehicle sales on fuel‐saving technology adoption in passenger vehicles

Although economic theory suggests that both sales and fuel costs affect technology adoption by vehicle manufacturers, there is very little empirical evidence on either effect. We document a strong connection between a vehicle's sales and its energy efficiency. Using a demographics‐driven demand shifter to isolate demand‐side changes in sales, we find that a one standard deviation increase in sales raises efficiency by 0.2%, compared with a mean improvement rate of 1.4% per year between 1997 and 2013. Higher fuel prices also increase technology adoption directly by increasing willingness to pay for fuel cost savings. The results have two implications: manufacturers will continue to focus technological improvements on top selling vehicles; and fuel taxes will have larger effects on technology adoption than fuel economy standards and feebates.     

Inventory behavior with permanent sales shocks

Empirically, ADF tests fail to reject the null hypothesis that sales are I(1). We build a model of inventory behavior that incorporates permanent sales shocks. Analytically, the model with I(1) sales implies that the variance ratio (of log production to log sales) is one in the long run, regardless of the strength of production smoothing, stockout avoidance, or cost shocks, but that, at business cycle horizons, the conditional variance ratio (conditional on past production and sales) is greater than one. We explain – analytically, using our model, and intuitively – four traditional inventory puzzles and three puzzles about inventories and monetary policy.     

Quota Bonuses as Localized Sales Bonuses

In this article, we compare quota bonuses to profit‐based evaluation and sales (quantity) bonuses in a duopoly setting with independent demand shocks. Contrary to the previous findings, we find that under certain circumstances, either quota bonuses or sales bonuses may be optimal compensation plans. This may explain the coexistence of different bonus schemes in situations where the strategic aspect of the incentive problems is relevant. Copyright © 2017 John Wiley & Sons, Ltd.     

Bayes estimates of distance‐to‐market: transactions costs,cooperatives and milk‐market development in the Ethiopian highlands

Rationalizing non‐participation as a resource deficiency in the household, this paper identifies strategies for milk‐market development in the Ethiopian highlands. The additional amounts of covariates required for positive marketable surplus—‘distances‐to market’—are computed from a model in which production and sales are correlated; sales are left‐censored at some unobserved threshold; production efficiencies are heterogeneous; and the data are in the form of a panel. Incorporating these features into the modeling exercise is important because they are fundamental to the data‐generating environment. There are four reasons. First, because production and sales decisions are enacted within the same household, both decisions are affected by the same exogenous shocks, and production and sales are therefore likely to be correlated. Second, because selling involves time and time is arguably the most important resource available to a subsistence household, the minimum sales amount is not zero but, rather, some unobserved threshold that lies beyond zero. Third, the potential existence of heterogeneous abilities in management, ones that lie latent from the econometrician's perspective, suggest that production efficiencies should be permitted to vary across households. Fourth, we observe a single set of households during multiple visits in a single production year. The results convey clearly that institutional and production innovations alone are insufficient to encourage participation. Market‐precipitating innovation requires complementary inputs, especially improvements in human capital and reductions in risk. Copyright © 2008 John Wiley & Sons, Ltd.     

Centralization of strategic decisions during the Great Recession

We use a survey dataset of more than 14,000 manufacturing firms from seven European countries in order to examine changes in the degree of centralization that followed the Great Recession in 2009. We document three findings. First, we find that a larger fall in sales is associated with a tendency to centralize. The finding is consistent with a theoretical prediction that organizations facing substantial demand shocks are more likely to centralize. Second, we show that the change in the level of centralization during the crisis was accompanied by other decisions characteristic of short‐term optimization. Third, we show that increased centralization has led to slower postcrisis growth even when controlling for the size of the shock and other decisions taken during the crisis.     

Random shocks in experimental spot and forward auction markets

Traders face random demand and supply schedules in two experimental auction environments. One is the standard double auction and the other requires sellers to produce and hold inventory before trading. Inventories cannot be held between trading cycles. The endogenous and random cost of inventory disciplines sellers to restrict sales and keep prices relatively high. Anxious buyers may bid up price because total sales cannot exceed inventories. Shocks to the system do not change this behavior except when seller production costs are random. In this treatment, prices converge to the predicted competitive equilibrium. The inventory requirement in all cases increases the earnings of sellers relative to buyers.     

Oil price shocks and credit spread: Structural effect and dynamic spillover

This study analyzes the heterogeneous response of U.S. credit spread to global oil price shocks by building an extended structural vector autoregressive model (SVAR), which can distinguish among the U.S. and non-US oil supply shocks, aggregated demand shocks and oil market-specific demand shocks behind the real oil prices. Meanwhile, a spillover index model developed by Diebold and Yilmaz (2012) (hereafter D.Y. (2012)) is used to estimate the link between oil price shocks and the U.S. credit spread over time. The results show that (i) the credit spread does not respond to global oil supply shocks and non-US oil supply shocks, but has a negative reaction to the U.S. oil supply shocks, aggregate demand shocks, and oil-market-specific demand shocks. (ii) There exists a close connectedness between oil price shocks and the U.S. credit spread, and the link fluctuates cyclically and relates to the economic cycle and the U.S. shale oil revolution. (iii) The spillover from different oil price shocks to the U.S. credit spread shows significant heterogeneity over time. Our findings suggest that policymakers and investors can better track the U.S. credit spread changes using oil price information.     

Price effects of steel commodities on worldwide stock market returns

We analyze the price effects of steel commodities on stock market returns in emerging and developed economies. These commodities have recently attained increased media exposure due to the rise in the U.S. steel import tariffs, which pose the threat of reducing global demand for steel products and, consequently, lowering prices abroad. However, little has been investigated on the impact of steel commodity prices on worldwide stock market returns. By performing structural VAR and GARCH techniques on a weekly-frequency time series from 2002 to 2015, we find positive and statistically significant effects of linear and non-linear steel commodity price shocks on real stock returns in the commodity markets. In the highly diversified financial markets such as U.S. and Germany, real stock returns do not significantly respond to steel commodity price shocks, although we find highly significant positive responses from developed economies such as Australia, Japan and South Korea. Results are robust to different model specifications. Our evidence suggests that higher tariffs on steel imports represent a larger disadvantage to commodity markets which are more largely impacted by steel commodity prices. We provide economic policy implications based on recent literature.     

Corporate social responsibility,durable‐goods and firm profitability

Utilizing a two‐period durable‐goods framework, we show that in uncommitted sales markets a firm may earn higher profits as it increases its level of corporate social responsibility (CSR). We find that this occurs even though CSR has no direct impact other than increasing the durable‐goods firm's manufacturing costs. We show that in sales markets, CSR may allow the firm to credibly commit itself to lower production in the future. This, in turn, can enhance their profits even though the CSR activities are costly and provide no direct demand or marketing benefit in our model. This is important because it provides another, hereto unexplored, strategic rationale for the willingness of profit‐maximizing firms to undertake costly CSR activities. Copyright © 2010 John Wiley & Sons, Ltd.