On the efficiency of racetrack betting market: a new test for the favourite-longshot bias

A number of empirical studies on the efficiency of racetrack betting market have shown the ‘favourite-longshot bias,’ which means longshots are overbet while favourites are underbet. Asian markets such as Hong Kong and Japan, however, have produced some contradictory empirical evidence to the bias. One critical element in the efficiency test procedure is how to assess the unobservable objective winning probability of a horse in a race. This paper proposes a new test framework with a more general evaluation of the objective probability of winning than the traditional method. Unlike the traditional method, our model allows the heterogeneity of the horses and the races. We apply the new empirical method to test whether the favourite-longshot bias is present in racetrack betting market of Korea. We found that the favourite-longshot bias exists in the racetrack market of Korea and the result distinguishes Korean racetrack market from other Asian markets.     

Game,set and match: the favourite-long shot bias in tennis betting exchanges

We test for the existence of Favourite-Longshot Bias (FLB) in tennis betting exchanges. Despite these being order-driven markets, with no direct participation from bookmakers, we have found very similar results to those obtained by Lahvi?ka (2014) for bookmakers’ betting markets: the bias is stronger in matches between lower-ranked players, in later round matches and in high profile tournaments. This suggests that bookmakers’ adjustments to respond to informed betting are not the main driver of FLB. The varying magnitude of the bias across different types of event in the main market also weakens arguments linking FLB to gamblers’ risk preferences, and suggests the need to consider the microstructure features of the market together with the cognitive biases highlighted in the behavioural finance literature.     

The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the idea that continuous technological progress alters the trading environment over time. With new methodologies and a new measure of the degree of market efficiency, we examine whether the US stock market evolves over time. In particular, a time-varying autoregressive (TV-AR) model is employed. Our main findings are: (i) the US stock market has evolved over time and the degree of market efficiency has cyclical fluctuations with a considerably long periodicity, from 30 to 40 years; and (ii) the US stock market has been efficient with the exception of four times in our sample period: during the long recession of 1873–1879; the recession of 1902–1904; the New Deal era; and the recession of 1957–1958 and soon after it. It is then shown that our results are partly consistent with the view of behavioural finance.     

International stock market efficiency: a non-Bayesian time-varying model approach

This article develops a non-Bayesian methodology to analyse the time-varying structure of international linkages and market efficiency in G7 countries. We consider a non-Bayesian time-varying vector autoregressive (TV-VAR) model, and apply it to estimate the joint degree of market efficiency in the sense of Fama (1970, 1991). Our empirical results provide a new perspective that the international linkages and market efficiency change over time and that their behaviours correspond well to historical events of the international financial system.     

Technical efficiency, market share and profitability of manufacturing firms in Cote d'Ivoire: the technology trap

This paper investigates the sources of inefficiency of firmsin Côte d'Ivoire and examines to what extent these effectstranslate into poor performance. A large majority of firms istechnically inefficient, producing far below the maximum attainableoutput level. Major cost savings can also be realised throughenlarging the scale of activities of firms. Efficiency gainsand scale advantages translate into a better competitive positionand via their impact on market share into higher profitability.However, severe growth barriers and imperfect markets keep firmsfrom realising these gains and prevent firms from catching upin technology with respect to their larger, older and oftenforeign-owned competitors.     

Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices

We propose a novel test to measure market efficiency while estimating the time-varying risk premiums of commodity futures, given that the prices are heteroscedastic. The risk premium is estimated using a state-space model with a Kalman filter modified for heteroscedasticity. Using 79 commodity futures traded on 16 exchanges during the period 2000–2014 and a Monte Carlo simulation, we demonstrate that the proposal produces robust results compared with conventional approaches. The global financial crisis has improved the efficiency and affected the trading volumes of commodity futures, but it has had no effect on the average or the volatility of risk premiums.     

Competition for foreign direct investment: The role of technology and market structure

We analyze the location choice of a multinational corporation (MNC) between two host countries. We consider both passive and active governments and examine the role of production efficiencies, and of market structure, in the MNC's choice. Our findings include: (i) when the domestic firms export, the country with fewer firms always gets the MNC, but the MNC is indifferent between hosts with firms that have different efficiency levels, (ii) when the domestic firms do not export, the country with more firms gets the MNC if they are sufficiently inefficient, and the MNC locates in the country with less efficient firms.     

Testing the efficiency of the futures market for crude oil in the presence of a structural break

The efficiency of the futures market for crude oil has been the subject of significant study, with the basis regression representing a popular methodology. However, the parameters of this model are subject to a structural break, casting doubt on any conclusion regarding the efficiency of the futures market. To address this problem, this article employs a simple generalization which is capable of testing the efficiency of a futures market in the presence of a structural break. Using this approach, strong evidence of inefficiency is found in the one month futures contract for West Texas Intermediate for the period between 1985 and 2013, which is otherwise not detected.     

Estimating input-mix efficiency in a parametric framework: application to state-level agricultural data for the United States

ABSTRACT

This paper contributes to the productivity literature by demonstrating novel econometric methods to estimate input-mix efficiency (IME) in a parametric framework. Input-mix efficiency is defined as the potential improvement in productivity with change in input mix. Any change in input-mix (e.g., land to labou r ratio) will result in change in productivity. The advantage of this approach is that it does not require data on input prices to estimate the mix efficiency levels. A nonlinear input-aggregator function (e.g., Constant Elasticity of Substitution) is used to derive an expression for input-mix efficiency. Bayesian stochastic frontier is estimated for obtaining mix efficiency using US state-level agricultural data for the period 1960–2004. Significant variation in input-mix efficiency is noted across the states and regions, attributable to diverse topographic and geographic conditions. Furthermore, comparisons of allocative and mix efficiencies provide insightful policy implications. The production incentives such as taxes and subsidies could help farmers in adjusting their input mix in response to changes in input prices, which can affect the US agricultural productivity significantly. The proposed methodology can be extended by i) using flexible functional forms; ii) introducing various time- and region-varying input aggregators; and iii) defining more sophisticated weights for input aggregators.     

To Save or to Consume: Linking Growth Theory with the Keynesian Model

In the neoclassical growth theory, higher saving rate gives rise to higher output per capita. However, in the Keynesian model, higher saving rate causes lower consumption, which may lead to a recession. Students may ask, "Should we save or should we consume?" In most of the macroeconomics textbooks, economic growth and Keynesian economics are in separate, sometimes unsequential, chapters. The connection between the short run and the long run is not apparent. The author builds a bridge between the neoclassical growth theory and the Keynesian model. He links the Solow diagram and the IS-LM curves and depicts the short-run to long-run transition of the economy after changes in saving and other macroeconomic policies.     

The “swing of the pendulum” from public to market support for science and technology: Is the U.S. leading the way?

The structure and financing of science and technology activities are undergoing a slow, but profound, change. This change can be briefly characterized as a shift from relying and supporting public science to a stronger emphasis on “market-based” incentives for science and technology. In this paper we analyze this shift in a historical perspective, discussing both the theoretical explanations and the empirical trends of the ongoing change. While we do not claim to provide a comprehensive and exhaustive identification of the causes of this shift, we argue that it is largely driven by the perception of a shift of the U.S. policy towards market-based, rather than publicly supported, incentives for science and technology. This, in turn—given the strong economic performance of the United States over the 1990s—has influenced policies in most OECD countries, especially in Europe.We conclude by analyzing the evolution of research in U.S. higher education and find two major trends: an increasing diversity in the number of institutions of different types other than universities and a steady and continuous public funding of the leading U.S. universities. This has allowed the construction of an infrastructure now used largely by the private sector, but it also noted that the United States has not compromised public support for core areas or in those fields in which there is a clear perception that market incentives are not sufficient for meeting the strategic targets of the U.S. policy. The implication is that there is a considerable policy diversity in the U.S. practice and that all aspects of this diversity should be considered when using the United States as a reference.     

On the efficiency of a global market for carbon dioxide emission permits: Type of externality and timing of policymaking

We demonstrate that global permit markets are Pareto efficient despite the externality type, production or consumption, when income redistribution occurs after regional environmental policymaking. Ex-ante income redistribution is neutral if emissions affect production only, but non-neutral if emissions affect consumption.     

From innovation to market entry: a strategic management model for new technologies

In this paper, we introduce a new framework that generates a list of strategic actions to support successful management of the innovation process as new technologies are taken to market. The framework links different stakeholders inside and outside the organisation to obtain an holistic view of the requirements necessary to develop the new technology. It integrates and synthesises existing frameworks into an inclusive set of guidelines. The framework is then tested in a case study located in a mid-size semiconductor organisation currently seeking new business opportunities in the emerging photovoltaic market. We conclude by reflecting on the usefulness of the model. Theoretically, the paper contributes to the literature on the management of the introduction of new technologies; practically, the framework provides a normative tool for practising managers.     

Modelling a dynamic market potential: A class of automata networks for diffusion of innovations

Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent non-constant market potential affecting the adoption phase.Using Cellular Automata we propose a two-stage model of an innovation diffusion process. First we describe a communication network, an Automata Network, necessary for the “awareness” of an innovation. Then, we model a nested process depicting the proper purchase dynamics. Through a mean field approximation we propose a continuous representation of the discrete time equations derived by our nested two-stage model. This constitutes a special non-autonomous Riccati equation, not yet described in well-known international catalogues. The main results refer to the closed form solution that includes a general dynamic market potential and to the corresponding statistical analysis for identification and inference. We discuss an application to the diffusion of a new pharmaceutical drug.     

Accounting and the formation of share market prices over time: a mathematical institutional economic analysis through simulation and experiment

This article develops a heterogeneous agents-based model to examine the emergent dynamic properties of share market price formation over time, with a view on financial market stability under alternative accounting regimes. In the model, individual heterogeneous investors interact with each other and with institutional devices which are an accounting system (related to the business firm) and a price system (related to the Share Exchange). These interactions provide mechanisms for transmission through which firm-specific (accounting signal) and market-driven (aggregate price) factors can act. A baseline simulation analysis assesses the financial market stability under three alternative accounting designs, namely two kinds of historical cost accounting regime and one kind of fair-value (mark-to-market) accounting regime. The former prove to better stabilize the financial system in terms of market volatility and exuberance in perfectly balanced conditions between speculative and fundamentalist beliefs and intentions. An evolutionary analysis is then developed by varying the relative degree of speculative attitudes between the two sides of the market. Historical cost accounting regimes further prove to make the financial system more resilient to speculative waves occurring at inter-individual level. Baseline findings are further corroborated through experimental analysis in twelve artificial financial systems. This mathematical institutional economic analysis has general implications for both designing accounting systems aimed at enhancing financial market stability and preventing procyclicality, and the study of accounting information process in the formation of share market prices over time.     

Testing for weak-form efficiency of crude palm oil spot and future markets: new evidence from a GARCH unit root test with multiple structural breaks

There is a sizeable literature that tests for weak-form efficiency in commodity and energy spot and future prices. While many studies now allow for multiple structural breaks to address the criticism that conventional unit root tests have low power to reject the unit root null in the presence of structural change, the extant literature overlooks the fact that conventional unit root tests are biased in the presence of conditional heteroscedasticity. We apply a recently developed generalized autoregressive conditional heteroscedasticity (GARCH) unit root test with multiple structural breaks to crude palm oil spot and future prices and find much more evidence against weak-form efficiency than that found using tests that fail to allow for conditional heteroscedasticity. Our results point to the importance of allowing for heteroscedasticity when testing for efficiency in commodity and energy spot and future prices.     

Cost-effectiveness of obinutuzumab plus bendamustine followed by obinutuzumab monotherapy for the treatment of follicular lymphoma patients who relapse after or are refractory to a rituximab-containing regimen in the US

Aims: Obinutuzumab (GA101, G) was approved in February 2016 by the US Food and Drug Administration to treat follicular lymphoma (FL) patients who relapsed after, or are refractory to (R/R), a rituximab-containing regimen (R/R-rituximab). In the GADOLIN trial, R/R-rituximab patients who received G plus bendamustine (B) followed by G-monotherapy (G?+?B) for up to 2 years had significantly improved progression-free survival and overall survival compared to patients receiving B-monotherapy. This study estimated the cost-effectiveness of G?+?B vs B-monotherapy for R/R-rituximab FL patients from a US payer perspective.

Materials and methods: Patient outcomes were simulated using a 3-state area under the curve model including progression-free survival, progressive disease, and death. This study used R/R-rituximab data from the National LymphoCare Study to extrapolate the GADOLIN trial’s refractory FL progression-free and overall survival data to a R/R-rituximab FL population. Drug utilization and adverse events were based on trial data, and costs were based on Medicare reimbursements and drug wholesale acquisition costs in 2016. Utility estimates were derived from published literature. Post-progression treatment costs were based on observed post-progression therapies in GADOLIN. Sensitivity analyses were conducted to assess model uncertainty.

Results: G?+?B resulted in an increase in quality-adjusted life years relative to B-monotherapy of 1.24 (95% CR?=?0.61–1.87); the incremental total cost was $58,100 (95% CR?=?$54,500–$61,500). The incremental cost-effectiveness ratio was $47,000 per QALY gained, and, based on probabilistic simulations, there was a 98% probability that G?+?B was cost-effective at the $100,000 per QALY threshold.

Limitations and conclusions: This US-based analysis suggests that treatment with G?+?B compared to B-monotherapy is likely cost-effective in R/R-rituximab FL patients. Modeling a R/R-rituximab population based on a synthesis of GADOLIN and the National LymphoCare Study data introduces uncertainty in the analysis. However, the findings were robust to sensitivity analyses.     

Respondent direct experience and contingent willingness to pay for new commodities: a switching endogenous interval regression analysis

Most environmental economists argue that direct experience with the good being valuated, or with similar goods, is a precondition for providing valid willingness to pay (WTP) responses to contingent valuation questions. Two questions are posed in this article. The first is whether previous use experience of a resource (Séné nature reserve) similar to that being valuated (future nature reserves) and located in the same geographical area (Gulf of Morbihan) impacts on WTP. The second is whether accounting for the endogeneity of direct experience matters in the estimation of WTP. We find that respondents who have not experienced the Séné nature reserve provide value estimates that are statistically comparable to that of respondents who have experienced it. Our assumption is that respondents have acquired sufficient and adequate experience of future nature reserves from the questionnaire that experience obtained by experiencing the Séné nature reserve was not necessary for making a valid value formulation. Hence, aggregation of WTP estimates to obtain a total valuation of the future nature reserves is reasonable over the full target population. In addition, our results show that direct experience is endogenously determined; but controlling for the endogeneity has a marginal effect on WTP estimates.     

Modelling with flexibility through the business cycle: using a panel smooth transition model to test for the lipstick effect

ABSTRACT

Consumer spending typically declines during periods of economic distress, but observers have noted that lipstick purchases appear to increase during recessions, which is often referred to as the lipstick effect. However, the existence of such effect has remained empirically unconfirmed. Using weekly retail scanner data on lipstick sales from 2006 to 2016 in the United States, we applied a Panel Smooth Transition Regression (PSTR) demand model to test the relationship between economic distress and lipstick sales. This flexible demand specification allows regression coefficients to vary as a function of an exogenous macroeconomic variables and fluctuate asymmetrically, non-linearly, and time-varyingly across an unlimited number of regimes. Empirical results show the income elasticity of demand for lipstick decreased rapidly from 0.31 to 0.05 during the 2007–2009 recession, then slowly rebounded to 0.31 by the second quarter of 2014, thus first empirically confirming the existence of the lipstick effect.     

Economic evaluation of nivolumab for the treatment of second-line advanced squamous NSCLC in Canada: a comparison of modeling approaches to estimate and extrapolate survival outcomes

Background Lung cancer is the most common type of cancer in the world and is associated with significant mortality. Nivolumab demonstrated statistically significant improvements in progression-free survival (PFS) and overall survival (OS) for patients with advanced squamous non-small cell lung cancer (NSCLC) who were previously treated. The cost-effectiveness of nivolumab has not been assessed in Canada. A contentious component of projecting long-term cost and outcomes in cancer relates to the modeling approach adopted, with the two most common approaches being partitioned survival (PS) and Markov models. The objectives of this analysis were to estimate the cost-utility of nivolumab and to compare the results using these alternative modeling approaches.

Methods Both PS and Markov models were developed using docetaxel and erlotinib as comparators. A three-health state model was used consisting of progression-free, progressed disease, and death. Disease progression and time to progression were estimated by identifying best-fitting survival curves from the clinical trial data for PFS and OS. Expected costs and health outcomes were calculated by combining health-state occupancy with medical resource use and quality-of-life assigned to each of the three health states. The health outcomes included in the model were survival and quality-adjusted-life-years (QALYs).

Results Nivolumab was found to have the highest expected per-patient cost, but also improved per-patient life years (LYs) and QALYs. Nivolumab cost an additional $151,560 and $140,601 per QALY gained compared to docetaxel and erlotinib, respectively, using a PS model approach. The cost-utility estimates using a Markov model were very similar ($152,229 and $141,838, respectively, per QALY gained).

Conclusions Nivolumab was found to involve a trade-off between improved patient survival and QALYs, and increased cost. It was found that the use of a PS or Markov model produced very similar estimates of expected cost, outcomes, and incremental cost-utility.