Self serving reference points in double auctions

We present a novel approach for modelling self serving bias by way of reference dependence. Bias is modelled as a systematic individual level deviation of the endogenous reference point from the expected price of a good in a two person k-double auction. We find that bias decreases the efficiency of the model, and that efficiency is decreasing in both the level of bias and reference dependence.     

Do Indian States Mimic,Compete or Interact in Local Public Spending? A Spatial Econometric Analysis

This paper analyses spatial interaction in public spending decisions across 22 Indian states during the period 1980–1981 to 2014–2015. In particular, we estimate interactive hypotheses for different proximities of states using a spatial panel data approach. The empirical results support strong spatial interaction and yardstick competition in public spending. Interactive behavior among the states has been found to be consistent and conditional on per capita income, fiscal transfers, infrastructure, literacy and population density. Interaction arising from yardstick competition significantly affects public spending decisions. The present study realizes the need for a well‐developed and comprehensive network to strengthen the interdependence in public spending among the states for higher welfare gain.     

Monopoly with local knowledge of demand function

In this note, we propose a model where a quantity setting monopolist has incomplete knowledge of the demand function. In each period, the firm sets the quantity produced observing only the selling price and the slope of the demand curve at that quantity. Given this information and through a learning process the firm estimates a linear subjective demand curve. We show that the steady states of the dynamic equation are critical points of the objective profit function. Moreover, results depend on convexity/concavity of the demand. When the demand function is convex and the objective profit function has a unique critical point: the steady state is a globally stable maximum; conversely when then steady state is not unique, local maximums are locally stable, while local minimums are locally unstable. On the other hand when the demand function is concave, the unique critical point is a maximum: there can be stability or instability of the critical point and period two cycles around it via a flip bifurcation. Moreover, through simulations we can observe that, with a mixed inverse demand function, there are different dynamic behaviors, from stability to chaos and that we have transition to complex dynamics via a sequence of period-doubling bifurcations. Finally, we show that the same results can be obtained if the monopolist is a price setter.     

Particle filters for continuous likelihood evaluation and maximisation

In this paper, a method is introduced for approximating the likelihood for the unknown parameters of a state space model. The approximation converges to the true likelihood as the simulation size goes to infinity. In addition, the approximating likelihood is continuous as a function of the unknown parameters under rather general conditions. The approach advocated is fast and robust, and it avoids many of the pitfalls associated with current techniques based upon importance sampling. We assess the performance of the method by considering a linear state space model, comparing the results with the Kalman filter, which delivers the true likelihood. We also apply the method to a non-Gaussian state space model, the stochastic volatility model, finding that the approach is efficient and effective. Applications to continuous time finance models and latent panel data models are considered. Two different multivariate approaches are proposed. The neoclassical growth model is considered as an application.     

Forecasting value‐at‐risk in oil prices in the presence of volatility shifts

Recent evidence suggests shifts (structural breaks) in the volatility of returns causes non‐normality by significantly increasing kurtosis. In this paper, we endogenously detect significant shifts in the volatility of oil prices and incorporate this information to estimate Value‐at‐Risk (VaR) to accurately forecast large declines in oil prices. Our out‐of‐sample performance results indicate that the model, which incorporates both time varying volatility (without making any distributional assumptions) and shifts in volatility, produces more accurate VaR forecasts than several benchmark methods. We make a timely contribution as the recent more frequent occurrences of unexpected large oil price declines has gained significant attention because of its substantial impact on the financial markets and the global economy.     

Role of quality management capabilities in developing market-based organisational learning capabilities: Case study evidence from four Indian business process outsourcing firms

Business-to-business marketing literature acknowledges the value firms, including business process outsourcing firms, realise through their supplier networks. Such value realisation is often possible through a dynamic exchange of complementary organisational capabilities between a firm and its network partners. However, little is known about how outsourcing firms develop these capabilities and thus realise value. This paper addresses an unexplored theoretical gap of developing market-based organisational learning capabilities in business process outsourcing firms. Using a capabilities lens, this study assesses the impact of quality management capabilities in developing market-based organisational learning capability. Findings from a case study of four business process outsourcing firms in India suggest that effective knowledge transfer, diffusion and the development of market-based organisational learning capabilities are contingent upon the strength of a firm's quality management capabilities. Implications for theory and practice are discussed.     

Internal Finance and Corporate Investment

This paper examines Pecking Order/Free Cash Flow behavior in small ($25–$50 million), medium ($100–250 million), and large ($1000 million and over) firms. The purpose is to proffer an explanation for the important role of cash flow on the investment expenditure of firms that is more complete than the commonly given accounts. The Pecking order theory (PO) emphasizes the value‐enhancing influence of cash flow, while the free cash flow hypothesis (FCF) underscores its value‐destroying effect. Using the vector error correction model, we find that although the overall behavior of small firms support the pecking order theory, the cash flow of these firms does not have any causal effect on their investment. We further find evidence of free cash flow theory in large firms.     

Is television advertising being placed to reach product users?

Several textbooks, journal articles, and advertising practitioners indicate that the advertising for many products should be directed toward the heavy users of the product category. Other works suggest that advertising should be directed at current users of a brand to retain them or to users of competitive brands in an effort to attract them. The purpose of this article is to compare these directions for how advertising should be placed with data showing how advertising is being placed. The comparison is made using supermarket scanner panel data and household advertising exposure data. Examples are also provided to indicate the extent to which advertising could be targeted to heavy users of the product category and users of a brand, given the actual viewing and consumption patterns. Several implications for the placement of advertising are discussed.     

KLSE Long Run Overreaction and the Chinese New-Year Effect

This study investigates long run overreaction and seasonal effects for Malaysian stocks quoted on the Kuala Lumpur Stock Exchange (KLSE), for the period 1986–1996. Stocks exhibiting extreme returns relative to the market over a three year period experience a reversal of fortunes during the following three years. There is also evidence that employing a contrarian trading strategy may yield excess returns. Of particular interest is the apparent existence of a Chinese New Year effect in both the level of market returns, and the overreaction profile for KLSE stocks. These seasonalities mirror the January-effect observed in US markets.     

Dynamics of Wheat Prices in the Wake of Market Reforms: The Case of Pakistan

Using Autoregressive Conditional Heteroskedastic (ARCH) method, this paper examines the effects of market reforms on the distribution of real mean prices and their variability before and after reforms. It is found that market-oriented reforms benefited producers and consumers alike. Empirical evidences, generally, support theoretical assertion that mean prices decline in most urban areas and increase in those markets that are located in surplus producing areas. The results also showed that market reforms lead to more price volatility.