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.     

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.     

Spatial market equilibria with flow-dependent supply and demand: The single commodity case

Existence and uniqueness of spatial price equilibria are analyzed for a single commodity market network in which supply and demand levels are allowed to depend on commodity flows as well as market prices. This framework makes possible the explicit incorporation of flow-dependent shipment costs into market supply and demand functions. Moreover, since many quantity signals are also expressible as flow-dependent variables, it is possible to incorporate a number of recent models of supply and demand behavior which allow for quantity signals as well as price signals. In this context, the main result of the paper is to establish the existence of spatial price equilibria for such market networks under quite general conditions. In addition, certain uniqueness results are established for the case of arc-generated networks.     

Analysis of a dynamic, decentralized exchange economy

A model of a dynamic exchange economy is presented. Similarly to the Walrasian equilibrium problem, each consumer is characterized by a feasible set and by an instantaneous demand function, that depends on the price vector, time, and the commodity holding. The commodity holding of each consumer varies, at each moment, according to this instantaneous demand function. We show that the market can choose prices that keep the commodity holding of each consumer within his consumption set, while ensuring that the aggregate commodity holding satisfies the scarcity constraints of the market.     

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.     

The impact of capacity expansion on the market value of the firm

This paper empirically investigates the impact of capacity expansion decisions on the market value of the firm. Event study methodology is used to estimate the abnormal change in stock prices around capacity expansion decision announcements. On the day of the announcement, the magnitude of the price change is abnormally high, evidenced by a significantly positive mean standardized square of the abnormal change (Beaver's U-statistic). We also analyze factors that we could affect the direction and magnitude of the abnormal change in the stock prices. We find that the change in price on the day of the announcement is positively and significantly related to the real growth rate of the industry, and negatively and significantly related to the variability of demand. A negative relationship between the price change and industry capacity utilization is also found which can have important implications for companies which follow the wait-and-see approach to capacity expansion decisions. We also find management ownership to be a significant predictor in explaining stock price changes around these announcements.     

The lag structure of option price

The price of common stock warrants do not adjust immediately to changes in common stock prices. This lag is inconsistent with the ‘efficient market’ hypothesis. Based on daily closing prices this lag was measured and found to be a combination of the adjustment to stock price and to the adjustment of ‘other’ variables, i.e., positive serially correlated disturbance terms. A single equation model simultaneously estimating the parameters of the serial correlation and the coefficients of the lagged stock price indicate a substantial deviation from efficiency. Various simple strategies designed to exploit this lag are then tested.     

关于提高住宅有效购买力的几点思考

随着我国住房制度改革的推进 ,房地产业面临着前所未有的发展机遇。然而 ,几年过去了 ,我们却不得不面对住宅潜在需求和有效需求不足的尖锐矛盾。产生这一现象的原因是多方面的 ,笔者认为最主要的原因在于商品住宅价格偏高、住房金融市场发展缓慢以及住房交易市场不健全三个方面。因此 ,要使住宅产业真正成为消费热点和新的经济增长点 ,就必须努力降低现有商品住宅价格、加快住房金融市场的发展以及完善住房交易市场     

Additivity of Deflated Input–Output Tables in National Accounts

Input–output tables deflated by chained prices indices are not additive over product rows. This paper discusses the reasons and suggests a remedy. The new method proposed is based on a distinction, in concept, between ‘real value’, on the one hand, and variation in ‘volume’, on the other. The first corrects for the monetary variation of the unit of account resulting from inflation, while the latter isolates the variation of one product price relative to the other products, caused by the forces of supply and demand on each individual commodity market. An example of the resulting growth analysis is compiled for the Dutch economy between years 1990 and 2000.     

Asset price and wealth dynamics in a financial market with heterogeneous agents

This paper considers a discrete-time model of a financial market with one risky asset and one risk-free asset, where the asset price and wealth dynamics are determined by the interaction of two groups of agents, fundamentalists and chartists. In each period each group allocates its wealth between the risky asset and the safe asset according to myopic expected utility maximization, but the two groups have heterogeneous beliefs about the price change over the next period: the chartists are trend extrapolators, while the fundamentalists expect that the price will return to the fundamental. We assume that investors’ optimal demand for the risky asset depends on wealth, as a result of CRRA utility. A market maker is assumed to adjust the market price at the end of each trading period, based on excess demand and on changes of the underlying reference price. The model results in a nonlinear discrete-time dynamical system, with growing price and wealth processes, but it is reduced to a stationary system in terms of asset returns and wealth shares of the two groups. It is shown that the long-run market dynamics are highly dependent on the parameters which characterize agents’ behaviour as well as on the initial condition. Moreover, for wide ranges of the parameters a (locally) stable fundamental steady state coexists with a stable ‘non-fundamental’ steady state, or with a stable closed orbit, where only chartists survive in the long run: such cases require the numerical and graphical investigation of the basins of attraction. Other dynamic scenarios include periodic orbits and more complex attractors, where in general both types of agents survive in the long run, with time-varying wealth fractions.     

Supply chain decisions and coordination in the presence of an imperfect spot market

This study considers a supply chain consisting of a commodity supplier and a final product manufacturer with uncertain demand. In addition to purchasing from the supplier through a forward contract, the manufacturer can adjust their inventory by trading the commodity in an online spot market after observing the actual demand. However, the spot market is imperfect in that transactions cannot be certainly realized and come with additional transaction costs. Furthermore, the spot price is volatile such that overly relying on the spot market is unwise. To investigate how the spot market affects the decisions and coordination in a supply chain, we develop a game-theoretical model incorporating spot trading. We derive the optimal ordering decision in a centralized supply chain, as well as the supplier's and manufacturer's equilibrium pricing and ordering decisions in a decentralized supply chain. The impact of the imperfect spot market on the optimal decisions and profits is analyzed. This study also demonstrates how the supply chain can be coordinated in the presence of an imperfect spot market. Finally, a numerical analysis is performed to examine the analytical results. Our results indicate that the spot market can generally improve the performance of the centralized supply chain and benefit the manufacturer in the decentralized one. However, it can be detrimental to the supplier. The supply chain can be coordinated by a revenue-sharing contract, and both parties' profits can be improved. Our findings suggest that the manufacturer could take advantage of the spot market, and the supplier should attempt to integrate or coordinate the supply chain to share the benefits of spot trading.     

Retail investors’ trading and stock market liquidity

The paper investigates the relation between retail investors’ participation in trading and aggregate stock market liquidity. The findings show a positive and significant relation between retail investors’ trading and stock market liquidity. Examination of the determinants of retail investors’ trading reveals that, on average, retail investors with more diversified trading activity tend to trade when liquidity is higher, the frequency of their arrival to the market is not affected by the level of liquidity, and retail investors are willing to trade at a lower liquidity level as sellers than as buyers. Moreover, retail investors’ trading does not create price noise at the aggregate market level. Overall, the evidence suggests that retail investors contribute to market quality.     

股票价值分布曲线及其应用

基于股票价值的不确定性,我们可以建立股票价值的分布曲线。通过股票价值分布曲线,不仅可以明晰股票价格的决定机制,推导出股票市场的供给、需求曲线,而且还可以解释许多股票市场现象和问题,如:小盘高价大盘低价现象、价格操纵等问题。     

Evolution of price effects after one-day abnormal returns in the US stock market

This paper provides a comprehensive analysis of price effects after one-day abnormal returns and their evolution in the US stock market, using Dow Jones Index over the period 1890–2018. We utilise several statistical tests and econometric methods (the modified cumulative abnormal return approach, regression analysis with dummy variables, R/S analysis (Hurst, 1951), and the trading simulation approach). The results suggest that a strong momentum effect between 1940 and 1980 after a day of positive abnormal returns was present in the US stock market, and it was exploitable for profit. However, after the 1980s this has since disappeared. Overall, price effects after one-day abnormal returns during the analysed period tend to be unstable in terms of their strength and direction (momentum or contrarian effect). Nowadays, the evidence for the price effects after one-day abnormal returns in the US stock market is weak. Our results, therefore, are consistent with the Adaptive Market Hypothesis (Lo, 2004).     

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.     

Price stickiness and markup variations in market games

In this paper, we show that the Shapley–Shubik market game model with production naturally generates an equilibration mechanism that can accommodate price stickiness arising from strategic interactions of firms. Unlike New Keynesian models that show similar price stickiness results, the market game model does not require enforcing menu costs or other additional restraints on price adjustment mechanisms in order to generate price stickiness. As such, we suggest that the market game model can provide a good micro-foundation for macroeconomic analysis. We then explicitly show the relationship between a typical firm’s markup of price over marginal cost and its market share.     

Hypothesis of Price Formation in Input–Output Tables

The goal of this paper is to check if different theoretical approaches to price formation can be verified in the structure of empirical input–output tables. From a propositive point of view, the hypothesis is made of two different markets (the ‘industrial’ market of intermediate and investment goods; and the ‘commercial’ market of final consumption goods), with two different mechanisms of price formation. The consequences of this hypothesis are outlined as regards deflation procedures. An empirical test of the theories about price formation and of the method of deflation suggested by the two-market hypothesis is made using 1985 Italian input–output tables at 1980 prices.     

Modelling the UK gilt-edged market

In this paper we examine the sectoral demand for UK gilt-edged securities. The Tobin–Markowitz model of portfolio choice generates the prediction that asset holdings should be negatively correlated with the own price, and positively correlated with the prices of major substitutes. In contrast, for all the five major groups of UK gilt holders, we find evidence consistent with a reverse correlation between the own price and market holdings which we argue arises due to the passive revaluation of existing holdings. We examine the empirical evidence using both cointegration analysis of stock holdings and a dynamic model of net transactions.     

Disclosure quality,price efficiency,and expected returns

Using a composite disclosure quality measure, we examine the effect of disclosure quality on price delay and the effect of price delay determined by disclosure quality on expected returns in the Taiwan stock market. We find that higher disclosure quality can reduce stock price delay through more investor attention and higher stock liquidity after we control for accounting quality variables and consider the endogeneity issue. Furthermore, we show that disclosure quality reduces expected stock returns through the price efficiency channel associated with both investor attention and stock liquidity. Our results indicate that increasing a firm’s standardized information rating by one standard deviation can reduce its expected stock return by 0.63% annually. Taken together, our evidence suggests that regulatory activities enforced to improve public firms’ disclosure quality in the Taiwan stock market can make the stock market more efficient and therefore lower investors’ required return for stocks.     

On the differential market reaction to dividend initiations

The finance literature documents substantial positive stock price reaction to dividend initiations. Most dividend initiation studies focus on the average positive reaction; however, 40 percent of the firms that initiate dividends experience negative abnormal returns at announcement. This paper focuses on the apparent heterogeneity in the stock price reaction to dividend initiation. I find that the observed negative market reaction reflects the market’s economic assessment of the impact of the event on these firms, and that it is not caused by anticipation or confounding events. The result is also supported by the fact that the market reaction to dividend initiation for these firms is negatively related to initial dividend yield. Both the positive and negative observed reactions are consistent with conventional arguments regarding the information content of dividends, and their role in mitigating agency problems.