Sudden Unintended Used‐Price Deceleration? The 2009–2010 Toyota Recalls

Using data from the vehicle resale market, I test consumer responsiveness to large‐scale product recalls that are caused by safety problems. The used‐vehicle prices of Toyotas are compared to the used‐vehicle prices of the other major domestic and foreign manufacturers. The results quantify the losses suffered by Toyota vehicle owners in secondary markets due to the 2009–2010 safety recalls of more than 9 million Toyota Motors vehicles. The treatment effect of a recall is measured using panel data with a difference‐in‐differences estimation approach that allows for time‐varying treatment effects and serial correlation. I find that this recall episode had negative effects in the resale market for automobiles that were quantitatively small (less than 2% of the vehicle’s resale value), statistically indistinguishable from zero, and short lived (did not persist beyond December 2009). A comparison with Audi’s recalls in the 1980s of vehicles with sudden unintended acceleration suggests that the extent to which a company’s reputation is established is more important than whether or not a company has a reputation for producing high‐quality products.     

Price Discrimination in Two‐Sided Markets

We examine the profitability and welfare implications of targeted price discrimination (PD) in two‐sided markets. First, we show that equilibrium discriminatory prices exhibit novel features relative to discriminatory prices in one‐sided models and uniform prices in two‐sided models. Second, we compare the profitability of perfect PD, relative to uniform prices in a two‐sided market. The conventional wisdom from one‐sided horizontally differentiated markets is that PD hurts the firms and benefits consumers, prisoners' dilemma. We show that PD, in a two‐sided market, may actually soften the competition. Our results suggest that the conventional advice that PD is good for competition based on one‐sided markets may not carry over to two‐sided markets.     

Housing market dynamics: Evidence of mean reversion and downward rigidity

House prices often exhibit serial correlation and mean reversion. Using two large panel datasets, this paper analyzes the price dynamics in two significantly different types of markets, cyclical (or volatile) and non-cyclical (or tame), by applying an autoregressive mean reversion (ARMR) model. Our results show that cyclical markets have larger AR coefficients than non-cyclical markets. As a result, house prices in cyclical markets tend to have larger price cycles. We also find that the upward periods have larger AR coefficients than the downward periods. This demonstrates that house prices are likely to overshoot the equilibrium in appreciating markets while experiencing downward rigidity during periods of decline. The model developed in this paper can produce a forecast with rich house price dynamics across markets. Our results can also be used to determine how house prices in overvalued markets will ultimately adjust.     

Spatial price competition in the Manhattan hotel market: The role of location,quality, and online reputation

We investigate whether and to what extent price competition among hotels in Manhattan is driven by geographic location, quality, and online reputation. We investigate (a) which of the three product differentiation dimensions matters most for hotels' pricing decisions and (b) whether and to what extent competition is localized. Results show that hotel quality and geographic location matter the most for price competition. Whereas hotels of similar reputation also react to each other's prices, the effect is less important. Also, results indicate that hotels' prices react most aggressively to prices set by the four nearest hotels in the area.     

A Modelof Competitive Limit Pricing

This paper offers a new theory of limit pricing. Incumbents from different markets or regions "compete" against one another, with each attempting to price in a manner that deflects entry into the others' markets. An entrant is imperfectly informed as to the incumbents' respective investments in cost reduction and seeks to enter markets in which incumbents have high costs. In a focal equilibrium, the entrant uses a simple "comparison strategy," in which it enters only the highest-priced markets, and incumbents engage in limit-pricing behavior. The influence on pricing of the number of markets and the scope of entry is also reported. Throughout, the central feature of the analysis is that an incumbent's price affects its investment incentives, with lower prices being complementary to greater investment.     

Job creation and housing construction: Constraints on metropolitan area employment growth

Differences in the supply of housing generate substantial variation in house prices across the United States. Because house prices influence migration, the elasticity of housing supply also has an important impact on local labor markets. I assemble evidence on housing supply regulations and examine their effect on metropolitan area housing and labor market dynamics. Locations with relatively few barriers to construction experience more residential construction and smaller increases in house prices in response to an increase in housing demand. Furthermore, housing supply constraints alter local employment and wage dynamics in locations where the degree of regulation is most severe.     

Financially constrained arbitrage in illiquid markets

This article analyzes trading strategies when arbitrageurs impact prices. Trades of financially constrained arbitrageurs are feedback functions of their capital, which depends on the amount traded. A component of arbitrage trading ensures financial flexibility. This hedging component explains why price deviations persist in spite of arbitrage. Financial constraints are responsible for volatile prices and for time variation in the correlations of prices across markets. Distortions arise when regulated firms can influence the dynamics of prices on which capital requirements are based. Under current value at risk (VaR) measures, large traders behave aggressively and have a cost advantage relative to other traders.     

Longshots,overconfidence and efficiency on the Iowa Electronic Market

We study the forecast accuracy and efficiency of popular “binary” prediction markets. Such markets forecast probabilities for future states of the world (e.g., election winners) by paying off $0 or $1 depending on the realized state (e.g., who actually wins). To assess accuracy, forecast probabilities must be compared to realization frequencies, not individual realizations. We use Iowa Electronic Market (IEM) data to test efficiency against two alternative propositions from behavioral finance: the longshot bias and the overconfidence bias (which yield opposing predictions). No longshot bias appears in IEM markets. Nor does overconfidence influence prices at short horizons. However, overconfident traders may bias prices at intermediate horizons. While the markets are efficient at short horizons, non-market data indicate some intermediate-horizon inefficiency. We calculate Sharpe ratios for static trading strategies and document returns for dynamic trading strategies to assess the economic content of the inefficiencies.     

Price dynamics in public and private housing markets in Singapore

In down-payment constrained housing consumption models, increases in house prices could trigger household mobility decisions in housing markets. This study empirically tests house price dynamics associated with the mobility of households in the public resale and private housing markets in Singapore. The results show that stochastic permanent breaks were found in the public housing resale prices and private housing prices. The relative prices drift apart occasionally, but mean-revert to a long-run fundamental equilibrium. Error correction mechanisms and lagged public housing prices were also found to have significant explanatory effects for price changes in the private housing markets. The results support the hypothesis that household mobility creates co-movements of prices in public and private housing submarkets in the long run.     

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.     

New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach

Because of the acceleration in marketization and globalization, stock markets in the BRICS (Brazil, Russia, India, China, and South Africa) countries are affected by various global factors, for example, oil prices, gold prices, global stock market volatility, global economic policy uncertainty, financial stress, and investor sentiment. This paper offers new insights into the short- and long-run linkages between global factors and BRICS stock markets by applying the quantile autoregressive distributed lags (QARDL) approach. This novel methodology enables us to test short- and long-run linkages accounting for distributional asymmetry. That is, the nonlinear dynamic relationship between the global factors and BRICS stock prices depends on market conditions. Our empirical results show that the effects of gold prices and global stock market volatility on BRICS stock prices are more significant in the long run than in the short run. A decrease in global stock market volatility is associated with higher stock prices, while gold prices demonstrate upward co-movement in dynamic correlations with stock markets. Irrational factors, such as economic policy uncertainty, financial stress, and investor sentiment, play a critical role in the short term, and negative interdependence is dominant. Finally, the rolling-window estimation technique is used to examine time-varying patterns between major global factors and BRICS stock markets.     

What determines the long-term correlation between oil prices and exchange rates?

In this study, we obtain the long-term correlation between oil prices and exchange rates by employing the dynamic conditional correlation-mixed data sampling (DCC-MIDAS) model. We then identify the factors that influence the long-term correlation using panel data analysis. We find that the long-run correlations between oil prices and exchange rates are negative for all oil-exchange rate markets except Japan. We also find that both inflation and term spread have negative effects, while the risk-free interest rate has a positive effect on the long-term correlation between oil prices and exchange rates. Importantly, the empirical results show that an increase in inflation will significantly damage the real value of the currency itself.     

Price discrimination and the emergence of secondary markets

A frequently used explanations for the emergence of secondary markets for live entertainment and the ability of resellers to charge a markup over face‐value prices is that promoters do not price discriminate optimally. We test this hypothesis empirically, using instrumental variables techniques on a sample of 45 popular music concerts and find that secondary market markups are not caused by the level of price discrimination used by promoters on primary markets. The experience and success of the artist drive both primary market pricing and secondary market markups, which are consistent with theories of social influence and pricing of complementary products.     

Relative pricing of binary options in live soccer betting markets

Live soccer betting markets differ from other binary options markets in that all fundamental information is observable, the options mature in less than two hours and the markets are highly liquid. This study presents a new method for the identification of hidden information in market prices. The method is based on two independent Poisson distributions and on a numerical algorithm for the aggregation of all market price information into one rational number. The method is applied to an empirical dataset of real time market prices in 29,413 soccer games. The results indicate that the method selects the most profitable markets and allows for a significant improvement in average investment returns.     

Role of credit and monetary policy in determining asset prices: Evidence from emerging market economies

We examine the relative dominance of credit and monetary policy shocks in influencing asset prices in emerging markets. Estimates from panel VAR models for 22 EMEs provide evidence of a significant impact of bank credit on house prices in contrast to trivial impact on stock prices, possibly due to prudential regulations on banks’ exposure to stock markets. Contractionary monetary policy triggers sizeable and persistent decline in stock than housing prices as higher interest rates may render the funding of leverage costlier. Global shocks play an important role in explaining fluctuations in domestic stock prices rather than house prices since the latter class of asset is largely non-tradable across countries.     

The effect of human resource reputation signals on share prices: An event study

Using an event study methodology, the authors examine whether human resource reputation announcements in the business press (such as companies being cited as the “best for women”) affect the share prices of these companies. They find partial support for the assertion that favorable HR reputation signals have a positive effect on share prices. One signal, being named as a “best company for working mothers,” was associated with a positive return around the announcement date indicating that this signal affects estimates of the future earnings of the company. Explanations for these findings and implications for research and practice are discussed. © 1996 by John Wiley & Sons, Inc.     

Are the stock and real estate markets integrated in China?

This paper examines the dynamic short-run and long-run co-movement between the real estate and stock markets in China by employing a continuous wavelet method. We use gross domestic product and M2 (broad money supply) as control variables to eliminate the common factors of the two markets and to identify the real nexus between them. The empirical results show that the co-movement between real estate and stock prices is weak in the short run, except during the financial crisis period. Since the stock market is highly volatile, while real estate prices are relatively stable, the two markets are less correlated in the short run. The results also show that real estate prices affect stock prices in the long run, which supports the existence of a credit-price effect in China. Real estate prices remained very high in most time periods. Enterprises and individuals can obtain funds from bank loans to invest in the stock market, thus raising stock prices. These findings indicate that the two markets are generally segmented in the short run but are integrated in the long run. The stabilization of the real estate market is critical for stability in the stock market, but not vice versa. Additionally, investments in the two markets may not provide a high level of risk dispersion in the long run in China.

     

House price convergence in euro zone and non-euro zone countries

This study investigates whether single currency use increased house price convergence among various countries. First, the panel unit root test results indicate that the house prices in euro zone countries were more correlated than the house prices in non-euro zone countries. Second, the house prices in various European countries converged towards the house prices in Germany, which uses the single currency, rather than towards those in the United Kingdom, indicating that single currency use increased the influence of the German housing market on other markets. Finally, the log t regression model, a new convergence test, was employed and determined that the house prices in various European countries were not converging before 1992 but began to do so after that year. After the euro was implemented as an official currency, the house prices in various countries converged towards a consistent level. On the basis of the relative transition paths, this study determines that the differences among housing markets in various countries have continuously decreased since 1992. The empirical results indicate that the law of one price is applicable to tradable goods and that single currency use can integrate housing markets, which include non-tradable goods.     

A simple framework for analysing bull and bear markets

Bull and bear markets are a common way of describing cycles in equity prices. To fully describe such cycles one would need to know the data generating process (DGP) for equity prices. We begin with a definition of bull and bear markets and use an algorithm based on it to sort a given time series of equity prices into periods that can be designated as bull and bear markets. The rule to do this is then studied analytically and it is shown that bull and bear market characteristics depend upon the DGP for capital gains. By simulation methods we examine a number of DGPs that are known to fit the data quite well—random walks, GARCH models, and models with duration dependence. We find that a pure random walk provides as good an explanation of bull and bear markets as the more complex statistical models. In the final section of the paper we look at some asset pricing models that appear in the literature from the viewpoint of their success in producing bull and bear markets which resemble those in the data. Copyright © 2002 John Wiley & Sons, Ltd.     

Hassle Costs: The Achilles' Heel of Price-Matching Guarantees*

We show that price-matching guarantees can facilitate monopoly pricing only if firms automatically match prices. If consumers must instead request refunds (thereby incurring hassle costs), we find that any increase in equilibrium prices due to firms' price-matching policies will be small; often, no price increase can be supported. In symmetric markets price-matching guarantees cannot support any rise in prices, even if hassle costs are arbitrarily small In asymmetric markets, higher prices can be supported, but the prices fall well short of maximizing joint profits. Our model can explain why some firms adopt price-matching guarantees while others do not.