Technological substitution in the United States pulp and paper industry: The sulfate pulping process

This paper presents an econometric analysis of the diffusion of the sulfate pulping process throughout the U.S. pulp and paper industry. A dynamic equilibrium, Gompertz diffusion function is employed to derive a multivariate estimation model which incorporates more information than the traditional approach of estimating the growth rate function alone. The empirical results suggest that the econometric approach provides a useful integration of the technological diffusion process and the comparative static theory of demand. The sulfate pulping process is projected to continue capturing market share at a relatively rapid rate, and could account for 90% or more of total U.S. woodpulp production by the year 2000.     

Dynamics of volatility transmission between the U.S. and the Chinese agricultural futures markets

The U.S. and China are two of the biggest players in the world agricultural market. The literature documents that volatility in the U.S. agricultural futures market spills over significantly to that of China. This article provides further insights into the spillovers from China to the U.S. as well as the time horizon and dynamics of the bidirectional spillovers through the application of a multivariate extension of the heterogeneous autoregressive model, in relation to four commodities – soybean, wheat, corn and sugar. The results confirm the existence of significant spillovers from the U.S. to China for four commodities, which are primarily generated by the shorter-term volatility components in the U.S., and provide evidence for the increasing pricing power of the Chinese market. The findings are robust against various specifications and have important investment and policy implications.     

Can capacity markets be designed by democracy?

In the United States, Regional Transmission Organizations (RTOs) operate the power grid serving nearly 70% of electricity customers and are critical organizations for ensuring reliable system operations and facilitating the integration of new technologies and market participants. RTOs are designed to be stakeholder-driven organizations, with rules and policies crafted through a highly participatory process. While the decisions that RTOs make have implications for industry, society and the environment, their decision processes have not been modeled in any systematic way. In this paper, we develop a modeling framework for the stakeholder process of PJM, an RTO serving thirteen states plus the District of Columbia, adapting some of the seminal literature from political science and political economy on the theory of voting systems. This modeling framework can generate predictions of stakeholder process outcomes, identify strong coalitions among stakeholders and identify shifts in political power in the formulation of RTO market rules. We illustrate this analysis framework using a detailed data set from stakeholder deliberations of capacity market reform in PJM. Our model predicts that the current structure of the stakeholder process in PJM makes the passage of capacity market reforms through the stakeholder process virtually impossible because it creates strong coalitions that would favor or oppose changes to capacity market rules. In the capacity market case, we also identify a small subset of voters that act as swing voters and confirm that political power is shifted to these voters by deviations from otherwise strong coalitions and abstentions from the voting process altogether. Our framework represents the first attempt to model the decision-making behavior of RTOs in any systematic way, and points towards emerging research needs in evaluating the governance structure of RTOs.     

Modeling the fat tails in Asian stock markets

We test whether stock returns in the Asian markets are characterized by infinite variance or just large variance, which has an important implication for the applicability of many financial models in Asian market data. Employing the extreme value framework, we find that the Asian index return distributions are fat-tailed but have finite variance. However, the tails of the distributions behave similarly to those in the U.S. and the MSCI World index returns, suggesting that any financial model or risk management tool that incorporates the second moment would work equally well for the Asian market data as it does for developed market data. We apply the Value-at-Risk method using Asian and U.S. data and find no significant difference in performance.     

Investigation of the effect of secondary market on the diffusion of innovation

In the high-tech product market, the number of hungry adopters, a new type of early adopters who buy new products and sell them soon in the on- or off-line secondary market to seek for the other new products, has been increasing due to the short product life cycle of high-tech products and the low transaction cost on the Internet. This new phenomenon means that it is inappropriate to consider customers only in the primary market as total adopters in innovation diffusion modeling, since purchasers in the secondary market also have a word-of-mouth effect on the remaining non-adopters. To explain this new phenomenon, we modify the basic Bass diffusion model by incorporating the effect of the secondary market and conduct an empirical analysis. As a result, we conclude that the basic Bass model is likely to overestimate sales volume and tends to forecast lagged peak time when there is an effect from the secondary market. This means that applying a diffusion model to high-tech products without considering the secondary market effect would provide an inaccurate market forecast.     

中美股市杠杆效应与波动溢出效应——基于GARCH模型的实证分析

本文基于极大似然函数值准则和赤池信息准则,从众多非对称GARCH模型中选择最优模型来研究中美股市杠杆效应和波动溢出效应。结果表明:沪市和深市都表现出显著的杠杆效应,与美国股市相比沪市和深市杠杆效应较弱;沪市和深市之间存在显著的双向波动溢出效应,且沪市对深市的波动溢出效应更显著;美国股市与中国股市之间不存在显著的波动溢出效应。     

Delegation and the regulation of U.S. financial markets

We analyze the institutional determinants of U.S. financial market regulation with a general model of the policy-making process in which legislators delegate authority to regulate financial risk at both the firm and systemic levels. The model explains changes in U.S. financial regulation leading up to the financial crisis. We test the predictions of the general model with a novel, comprehensive data set of financial regulatory laws enacted specifically between 1950 and 2009. The theoretical and empirical analysis finds that economic and political factors impact Congress’ decision to delegate regulatory authority to executive agencies, which in turn impacts the stringency of financial market regulation, and our estimation results indicate that political factors may have been stronger and resulted in inefficiencies.     

An econometric analysis of the world zinc market

A fairly detailed market form of econometric model is built, based on the technological, behavioral and institutional features of the world zinc industry. An estimated version of the model indicates different systems of lag responses in the structures of demand and supply to the price of zinc, a very poor substitutability on the demand side, free market price as a long-run equilibrator for the U.S. producers' price, and an important influence of the U.S. interventions on the world market. The model meets reasonably well the predictability criterion based on the technique of dynamic simulation. The performance properties of the world zinc industry, analysed through dynamic multiplier simulation technique, show that the industry exhibits a reasonably, stable market environment to the exogenous disturbances such as an increase in the activity levels of consumers and variations in the prices of substitutes. It is, however, quite sensitive to technological changes in the consumer industries. The stockpile policy of the U.S. Government does not seem to be properly geared to its objectives and, in general, it seems to have restricted the development of the industry as a whole.     

Forecasting customer switching intention in mobile service: An exploratory study of predictive factors in mobile number portability

This study investigates switching barriers under the mobile number portability (MNP) in the U.S. mobile market. The structural equation modeling analysis is used to evaluate the causal model, and confirmatory factor analysis is performed to examine the reliability and validity of the measurement model. The logistic regression is used to investigate the effect of demographics on switching decision. The findings indicate that customer satisfactions, switching barriers, and demographics significantly affect subscribers' intent to switch. Among them, switching barriers had the most significant influence, which raises a question of the effectiveness of MNP. The MNP in the U.S. mobile market is intended to play an important role in lowering switching costs which can increase the level competition among providers. The findings, however, imply that subscribers still perceive switching barrier high, discouraging them from switching carriers.     

EFFECT OF MULTI-FIBER ARRANGEMENT TRADE RESTRICTIONS ON TEXTILE INDUSTRY PROFIT MARGINS

This article tests the anti-competitive effect of trade restrictions under the Multi-Fiber Arrangement in the U.S. textile industry. The modeling approach differs from that of traditional empirical studies. That is, it allows for non-competitive behavior by domestic firms and therefore permits estimating the effect of trade policy on domestic firms' conduct, market power, and profit margins. The model is estimated for several selected product categories of the U.S. textile industry. Empirical results indicate that trade restrictions enabled domestic producers to behave less competitively and raise their profit margins. The empirical evidence is significant in the man-made fiber sub-sectors. The anti-competitive effect, however, tended to taper off over time, suggesting that higher profits might have induced new entry and hence boosted competition.     

Politics and the stock market: Evidence from Germany

We analyze the interaction of stock market movements and politics in Germany. Evidence from popularity functions and VAR-based evidence suggests that stock market returns have affected the popularity of German governments. We only find weak evidence that the political process has had an impact on the stock market. In contrast to empirical evidence for the U.S., we do not find that German stock market returns tend to be higher during left-wing than during right-wing governments. Also in contrast to results for the U.S., we find no evidence for an election cycle in German stock market returns.     

Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

The literature on the modeling of diffusion of technologies typically uses historical data to calibrate a model. For cases where data on the diffusion of comparable technologies are not available and where high multi-sector stakes are involved, models that use more specific information may be useful. The potential transition to alternative transportation vehicle technologies and fuels, like fuel-cell vehicles and hydrogen, would be an example of such cases. We propose an integration of theoretical frameworks on the diffusion of innovations with data on stakeholders' opinions, to develop estimates of FCVs' market-share evolution. Our estimates of the time scales required for the market, particularly for the initial stages, are longer than those obtained in other studies.     

股指期货限制交易对定价效率影响研究*——基于跨市场信息传递视角的实证

从跨国金融市场信息传递的视角对中国2015年股灾中股指期货限制交易政策实施前后的中美市场实证分析表明：股指期货的限制交易政策极大地增强了美国市场对中国市场的影响，尤其是在下跌行情中的影响更大。分位数回归显示美国市场的交易活动对中国市场开盘价的影响呈“V”型特征，美国市场的微小波动都会引起中国市场的巨大波动，限制交易措施实施后，在下跌行情中来自美国市场的负冲击对中国市场的影响变得更大。这一实证研究的政策含义在于：为了增强股指期货市场的定价效率，金融监管层在市场稳定后应放开股指期货的限制交易，并通过降低准入门槛和合约大小等措施提高市场的开放程度。此外，监管层和国内投资者不能忽视美国股指期货对国内市场的影响。     

Assessing volatility transmission between Brent and stocks in the major global oil producers and consumers – the multiscale robust quantile regression

This paper investigates the volatility transmission effect between Brent oil futures and stock markets in the major global oil producing and consuming countries – the U.S., Russia, China and Saudi Arabia. In that process, we employ a mixture of novel and elaborate methodologies – wavelet signal decomposing procedure, GARCH model with complex distribution and recently developed robust quantile regression. Our results indicate that the effect is stronger in short-term horizon than in midterm and long-term in most cases. The magnitude is much stronger in turbulent times, whereas in tranquil times, this effect is very weak. We find that Russian RTS index endures the strongest volatility transmission effect from oil market. Surprisingly, Saudi stock market does not suffer heavy spillover effect even in the periods of increased market unrest. In the U.S. and China, the effect is much stronger from stocks to oil than vice-versa, and this particularly applies for the U.S. case.

     

Behavioral heterogeneity in the Australian housing market

We propose a heterogeneous agent model (HAM) of four groups of investors with Markov chain regime-dependent beliefs for the housing market. Within the Markov switching framework, we take into account how heterogeneous investors shift their trading behaviour in response to changes in housing market conditions. The model is estimated and compared with the benchmark rational expectation models using the Australian housing market data from 1982Q1 to 2013Q2. We find evidence of within- and between-group heterogeneity in the Australian housing market. We show that HAM with Markov switching beliefs provides a better in-sample estimation efficiency and outperforms the conventional rational expectation models in terms of out-of-sample prediction.     

Optimal Subsidization of Business Start‐Ups

This paper studies efficient allocation of resources in an economy in which agents are initially heterogeneous with regard to their wealth levels and whether they have productive ideas or not. An agent with an idea can start a business that generates random returns. Agents have private information about (1) their initial types, (2) how they allocate their resources between consumption and investment, and (3) the realized returns. I show that, under informational frictions, a society that targets productive efficiency should subsidize poor agents with ideas, and choose the amount and timing of subsidies carefully in order to ensure that other agents do not mimic poor agents with ideas and receive subsidies. Then, I provide an implementation of the start‐up subsidies in a market framework that resembles the U.S. Small Business Administration's Business Loan Program.     

新自由主义、金融危机与资本主义模式的调整——美国模式、日本模式和瑞典模式的比较

20世纪80年代,伴随着新自由主义思潮的兴起,发达资本主义国家的不同市场经济模式集体转向了新自由主义市场经济模式。20世纪90年代,美国模式、日本模式和瑞典模式几乎同时爆发了金融危机。美国模式对新自由主义政策进行了短暂调整后,又重蹈覆辙;日本模式则在新自由主义模式与日本模式之间摇摆不定,其结果导致日本经历了失去的二十年。瑞典模式则在坚持自身模式合理内核的基础上,弱化了新自由主义政策主张,迅速走出危机,走向持续发展。2007年美国次贷危机标志着新自由主义模式的终结,可以预见,无论是美国模式、日本模式还是瑞典模式,都将在坚持自身模式合理内核的基础上,更加注重向经济绩效和社会绩效均衡发展的方向调整。从本质上看,无论哪种资本主义市场经济模式,都无非是资本主义生产关系的一种调节形式而已,它们都无法从根本上克服资本主义基本矛盾带来的经济周期律。     

A test of the Hotelling rule using old‐growth timber data

Abstract.  The paper tests Hotelling's prediction that scarcity rent for a non‐renewable resource will rise at the rate of discount in a market equilibrium. We perform the test using data for old‐growth timber, a resource that is effectively non‐renewable. In contrast to previous studies, for this resource a measure of scarcity rent is directly observable in the form of stumpage price bids in timber auctions. We construct a model that allows for replanting and captures the institutional framework of the western U.S. timber market. The modified Hotelling rule that we derive is not rejected in several of our specifications.     

The Impact of U.S. Individual and Institutional Investor Sentiment on Foreign Stock Markets

This study examines the degree to which U.S. individual and institutional investor sentiments are propagated abroad. Previous studies construe investor sentiments as fully irrational; we find contrary evidence that individual and institutional investor sentiments are driven by both rational and irrational factors, with distinct effects on domestic and international stock market returns. The generalized impulse response functions from VAR model estimations show that U.S. institutional investor sentiments have varying degrees of impact on the equity markets of the U.K., Mexico, and Brazil, and no effect on Chile. Specifically, the individual investor sentiment effect is statistically significant only for the U.K market. Not surprisingly, the two classes of investor sentiments have a strong significant effect on the U.S. stock market returns. The response of the U.S. to individual investor sentiments is relatively more erratic, while the response to institutional investor sentiments is smoother. This difference in pattern becomes more visible when we consider the response of the foreign stock markets. We find significant effects of rational sentiments of institutional investors on the U.S., the U.K., Mexico, and Brazil. However, there is an insignificant effect of the irrational sentiments on the same set of countries. A direct implication of our empirical evidence is that it is important for international asset pricing models to consider the role of rational sentiments of institutional and individual investors on developed and emerging markets.