Learning in Advance Selling with Heterogeneous Consumers

Advance selling occurs when consumers order a firm's product prior to the regular selling season. It reduces uncertainty for both the firm and the buyers and enables the firm to better forecast its future demand. The distinctive feature of this paper is that there are both experienced and inexperienced consumers, with the former knowing their valuations of the product in advance. We show that pre‐orders from experienced consumers lead to a more precise forecast of future demand by the firm and that the optimal pre‐order price may be at a discount or a premium relative to the regular selling price. Copyright © 2016 John Wiley & Sons, Ltd.     

Stock prices and domestic and international macroeconomic activity: a cointegration approach

This paper supports the existence of a significant, long-run relationship between stock prices and domestic and international economic activity in six European economies. Johansen Cointegration tests demonstrate that stock price levels are significantly related to industrial production, business surveys of manufacturing orders, short- and long-term interest rates as well as foreign stock prices, short-term interest rates and production. Variance decomposition methods support the strong explanatory power of macroeconomic variables in contributing to the forecast variance of stock prices. Hence, stock prices are determined by macroeconomic activity.     

Introducing the supply side into the LBS Model

This Briefing Paper describes a new version of the London Business School model, which incorporates our most recent research on the supply side. The changes reflect the desire to improve the specification of the supply-side of the model, and to capture the effects of taxes on the incentives to save, invest and to work, while still retaining the basic features of the income-expenditure framework. The main features of the new model are: - Gross domestic product is determined as the sum of the outputs of five sectors. Previously GDP was determined by the demand side as the sum of the expenditure components. - Domestic demand for the output of the private sector depends on domestic absorption and on the price of this output relative to import prices. Overseas demand for exports depends on world economic activity and on the price of exports relative to the world price of exports. - Supply depends on the capital stock, real unit labour costs and real raw material prices. In the short run, input prices are allowed to affect the mix between goods which are exported and those which are supplied to the domestic market. In the long run, however, the mix depends only on the price of exports relative to the price of domestically supplied goods (i.e., relative profitability). - In the short run, disequilibrium in the goods market is reflected in adjustments to prices, inventories and the external balance. - Since gross domestic product is determined by summing the output of each sector, output decisions are reconciled with expenditure decisions by making imports the difference between final expenditure and aggregate supply. - In the long run, increases in government expenditure crowd out private expenditure, but the effect takes several years to come through. - A cut in corporation taxes which is not financed by higher taxes elsewhere boosts the supply side by raising investment and the capital stock, but not by enough to raise revenues sufficiently to pay for the tax cut. Private sector saving increases but not by enough to fund higher public sector borrowing, so the current account goes into deficit. - In the short run, both supply and demand factors influence economic activity; in the long run, the path of the economy depends only on population growth, capital accumulation and technical progress.     

Does Mad Money make the market go mad?

Empirical studies of numerous popular investment advisory services find statistically significant abnormal returns at the time of their broadcast or published investment recommendations. Our analysis of returns and trading volume around stock recommendations aired on charismatic host Jim Cramer's Mad Money program reveals statistical evidence of response to both his buy and sell opinions, with most of the full-day return following an on-air buy recommendation captured by that day's opening price. Trading strategy analysis suggests that individuals with limited funds should be wary of short-term trading to exploit the show's suggestions, while professional investors may be able to exploit buy picks with a contra strategy.     

Trade credit financing and stock price crash risk

This study investigates the association between trade credit financing and stock price crash risk within China's context. We find that firms using more trade credit financing have significantly lower future stock price crash risk. This negative association is more pronounced for firms with greater information asymmetry and for firms located in less developed financial markets. This finding is robust to the endogeneity concern, alternative measures of stock price crash risk, and the inclusion of other factors identified in prior studies that might affect stock price crash risk. Further evidence suggests that both the monitoring mechanism and the disclosure mechanism drive the documented relation. Our study suggests that access to trade credit can significantly reduce the likelihood of crash risk in a country like China with less developed formal bank financing. Our study also suggests that investors can effectively avoid stock price crash risk by using the trade credit information disclosed in financial statements.     

Private demands for public capital: evidence from school bond referenda

This paper develops a framework for estimating demand for school infrastructure investment that is financed through local bond referenda. Our framework takes explicit account of the irregular and discrete nature of local capital investment and the objective functions of local school boards. Our empirical model consists of a three-equation system composed of a proposed spending equation, a vote equation, and a selection equation. Estimated income and price elasticities of demand for school infrastructure are similar to those found in studies of current school spending. We also find that school boards act like risk-averse, budget-maximizing agenda-setters.     

Share,price and category expenditure—geographic market effects and private labels

Focusing on the interaction between national brands and private labels, this paper has two main empirical contributions: (i) a simultaneous system of demand (share), price and expenditure equations is estimated, and (ii) differences in the structure of the local geographic market are incorporated into the analysis. The former represents an important step in understanding the complete nature of private label and national brand interaction, while the latter is important for understanding the impact of the local retail environment on market behaviour. IRI scanner data from 1991 and 1992 are used to estimate a five‐equation system across 135 food product categories and 59 geographic markets. The results suggest that concentration at both the manufacturer and retailer level can significantly affect private label and national brand price. However, while increased retailer concentration is associated with higher national brand and private label prices, higher manufacturer concentration is associated with higher national brand but lower private label prices. Increases in national brand advertising has the effect of raising national brand price and share, but lowering private label price and share. This is consistent with previous research and suggests that advertising and local market conditions play a significant role in the ability of national brands to price at a premium over private labels. Finally, marketing decision variables, such as display activity and private label distribution, can have an important impact on total category expenditure. Copyright © 1999 John Wiley & Sons, Ltd.     

THE ROLE OF TIME‐VARYING PRICE ELASTICITIES IN ACCOUNTING FOR VOLATILITY CHANGES IN THE CRUDE OIL MARKET

There has been a systematic increase in the volatility of the real price of crude oil since 1986, followed by a decline in the volatility of oil production since the early 1990s. We explore reasons for this evolution. We show that a likely explanation of this empirical fact is that both the short‐run price elasticities of oil demand and of oil supply have declined considerably since the second half of the 1980s. This implies that small disturbances on either side of the oil market can generate large price responses without large quantity movements, which helps explain the latest run‐up and subsequent collapse in the price of oil. Our analysis suggests that the variability of oil demand and supply shocks actually has decreased in the more recent past, preventing even larger oil price fluctuations than observed in the data. Copyright © 2012 John Wiley & Sons, Ltd.     

THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUDE OIL

We develop a structural model of the global market for crude oil that for the first time explicitly allows for shocks to the speculative demand for oil as well as shocks to flow demand and flow supply. The speculative component of the real price of oil is identified with the help of data on oil inventories. Our estimates rule out explanations of the 2003–2008 oil price surge based on unexpectedly diminishing oil supplies and based on speculative trading. Instead, this surge was caused by unexpected increases in world oil consumption driven by the global business cycle. There is evidence, however, that speculative demand shifts played an important role during earlier oil price shock episodes including 1979, 1986 and 1990. Our analysis implies that additional regulation of oil markets would not have prevented the 2003–2008 oil price surge. We also show that, even after accounting for the role of inventories in smoothing oil consumption, our estimate of the short‐run price elasticity of oil demand is much higher than traditional estimates from dynamic models that do not account for for the endogeneity of the price of oil. Copyright © 2013 John Wiley & Sons, Ltd.     

Quantile-regression estimates of cigarette demand elasticities for the United States

Using a simple model and state-level cross-section U.S. data from 1993 to 1999, quantile-regression estimates of price elasticity and income elasticity for cigarette demand are obtained. It is noted that price elasticity shows a sizable variation across the high and low quantity-quartiles. There is a similar variability in the income elasticity, but most of these estimates lack statistical significance. Besides providing an indication of the variation in the price (and income) elasticity for different consumption levels, the exercise suggests some interpretative caution in regard to estimates from constant-elasticity models.     

住房价格的特征法分析与“夹心层”住房需求的实证估测

本文基于对上海市600余名夹心层(青年白领)人士的问卷调查,采用特征价格法模型计量测度了住房关键性特征对上海住房价格的影响。在此基础上,根据上海市夹心层真实住房需求分布情况推算出该群体期望住房的市场价格,从而为进一步衡量夹心层住房购买力缺口提供科学依据。     

What factors drive the price–rent ratio for the housing market? A modified present-value analysis

We consider which factors determined the price–rent ratio for the housing market in 18 U.S. metropolitan statistical areas (MSAs) and at the national level over the period of 1975–2014. Based on a present-value framework, our proposed empirical model separates the price–rent ratio for a given market into unobserved components related to the expected real rent growth and the expected housing return, but is modified from standard present-value analysis by also including a residual component that captures non-stationary deviations of the price–rent ratio from its present-value level. Estimates for the modified present-value model suggest that the present-value residual (PVR) component is always important and sometimes very large at the national and MSA levels, especially for MSAs that have experienced frequent booms and busts in the housing market. In further analysis, we find that house prices in MSAs that have larger PVR components are more sensitive to mortgage rate changes. These are also the MSAs with less elastic housing supply. Also, comparing our results with a recent statistical test for periodically-collapsing bubbles, we find that MSAs with large estimated PVR components are the same MSAs that test positively for explosive sub-periods in their price–rent ratios, especially during the 2005–2007 subsample. Our approach allows us to estimate the correlation between shocks to expected rent growth, the expected housing return, and the PVR component. We find that the expected housing return and movements in the PVR component are highly positively correlated implying an impact of the expected housing return on house prices that is amplified from what a standard present-value model would imply. Our results also show that most of the variation in the present-value component of the price–rent ratio arises due to the variation in the expected housing return.     

Price gap anomaly in the US stock market: The whole story

This paper analyses the price gap anomaly in the US stock market (comprised of the DJI, S&P 500 and NASDAQ) covering the period 1928 to 2018. This paper aims to investigate whether or not price gaps create market inefficiencies. Price gaps occur when the current day’s opening price is different from the previous day’s closing price due orders placed before the opening of the market. Several hypotheses are tested using various statistical tests (Student’s t-test, ANOVA, Mann-Whitney test), regression analysis, and special methods, that is, the modified cumulative returns and the trading simulation approaches. We find strong evidence in favour of abnormal price movements after price gaps. We observe that during a gap day prices tend to change in the direction of the gap. A trading strategy based on this anomaly was efficient in that its results were not random, indicating that this market was not efficient. The momentum effect was found to be temporary and no evidence of seasonality in price gaps was found. Lastly, our results were also contrary to the myth that price gaps tend to get filled.     

An analysis of job dissatisfaction and turnover to reduce global supply chain risk: Evidence from China

Suppliers’ labor problems in developing countries have emerged as a key risk in global supply chains. In China's coastal industrial zones, where most Fortune 500 companies have established their manufacturing bases, local suppliers are facing serious labor turnover problems. High labor turnover rates have caused poor quality, low productivity, and unfilled orders in supply chains. Applying a combination of quantitative techniques to determine the reasons why workers leave China's export factories, this research tries to identify the root causes of job dissatisfaction leading to turnover and provides managerial implications that may assist managers in dealing with labor-related supply chain risks.     

Workup

In pure limit-order markets, the use of large orders is discouraged by potential front-runners. This problem can be mitigated by using expandable orders or iceberg orders, or by splitting a large order into smaller ones. An expandable order gives a trader an option to sequentially expand the size of his trade while holding the price fixed. An iceberg order enables a trader to commit to a maximal trade size at some price, without fully revealing that size to other traders. This paper provides a theoretical model of expandable orders and the accompanying quantity negotiation, called (also by practitioners) the “workup”. The workup is ubiquitous in the U.S. and Canadian bond markets and in over-the-counter markets. The model suggests that even when iceberg orders are available, traders will still use the workup if splitting an order is prohibitively costly, front-running is a threat, and the exchange lacks trust.     

住房价格的特征法分析与“夹心层”住房需求的实证估测

本文基于对上海市600余名夹心层（青年白领）人士的问卷调查,采用特征价格法模型计量测度了住房关键性特征对上海住房价格的影响。在此基础上,根据上海市夹心层真实住房需求分布情况推算出该群体期望住房的市场价格,从而为进一步衡量夹心层住房购买力缺口提供科学依据。     

The determinants of homebuilder stock price exposure to lumber: Production cost versus housing demand

We study the economic linkage between homebuilder stock market performance and commodity futures market information on a major component of building materials—lumber. The price of lumber plays a dual role in determining homebuilder profits: it represents a production input cost and serves as a future housing demand indicator. Using all US publicly listed homebuilder stocks, we show that the housing demand effect dominates the builder–lumber relationship. This effect is robust even after we control for the Federal Housing Finance Association (FHFA) housing price index (HPI). Our results further indicate that the slope of the lumber futures curve serves as a cross-market signal of future housing demand and thus of homebuilder stock market performance.     

房价形成机制与定量分析初探

本文探讨了房价形成机制,认为供求关系决定房价,基本面、资金面、政策面等各种影响因子通过影响有效需求和有效供给最终实现对房价趋势的作用,形成房价波动和周期规律。在此理论基础上,利用实证数据对房价定量分析模型进行研究,论述了"房价是供求比的函数"的推导过程和逻辑关系,为今后房价分析模型的研究抛砖引玉。     

The responsiveness of wages to labour market conditions in the UK

If wages are more flexible in the sense that pay is more responsive to labour market conditions, this has important implications for the workings of the aggregate economy. First, the real fluctuations generated by both demand and supply shocks are smaller, and second, the economy can operate at a higher level of activity relative to potential without adverse inflationary consequences (i.e., the NAIRU is lower). Our empirical analysis of wage flexibility suggests that UK wages have become more responsive to labour market conditions since the mid-1980s, at least relative to the previous decade. Furthermore, this has happened within certain industrial sectors. Finally, a part of this move towards greater responsiveness has been due to the decline in national pay bargaining over the relevant period. However, the majority of this change is due to some other factors.     

Tenure choice and housing demand in Japan

This paper reports the results of an empirical analysis of tenure choice and housing demand that makes use of household-level data from Japan. The paper finds that the price and permanent-income elasticities of demand for owneroccupied housing are approximately −0.8 and 1.4, respectively, and that these estimates are highly robust. The price elasticity estimate is comparable to those for other countries, but the income elasticity estimate is much higher, possibly because of the greater accuracy of the income variable. It is also found that the tenure choice and housing demand decisions are apparently not made simultaneously.