Managing Price Risk in the Pakistan Wheat Market

The government intervenes in the wheat market in Pakistan toensure food security for consumers and to provide adequate andstable incomes for producers. The cost of this interventionis high, and its impact on the performance of agriculture hasbeen significantly negative. The World Bank is urging policychanges such as removing agricultural trade restrictions, pricesupports, and subsidies. However, policymakers often resistsuch reforms, fearing that they will expose the domestic marketto fluctuating international commodity prices. This article assesses the risk management needs of the sectorand evaluates whether using financial instruments—suchas commodity hedging using futures, options, or swaps—wouldimprove risk management. Simulations based on monthly data for1994 show that market-based methods of risk management couldreduce the impact of international price volatility on the domesticmarket without incurring high government cost or distortingprice signals.     

A Global Ex-vessel Fish Price Database: Construction and Applications

Synopsis We describe the first effort at creating a global ex-vessel fish price database, which is required for understanding the economic behavior of participants in the world’s fisheries. We demonstrate potential applications of the database by linking it to a spatially defined catch database, which makes it possible to attach landed values to species in both time and space. This is the first database available publicly where interested members of the public, researchers and managers can easily find and access ex-vessel prices of the world’s major commercial fish species. Preliminary results indicate that the average real price of a number of species have declined between 1950 and 2002. The estimated landed value of fish globally, in year 2000 dollars, was about US$24 billion in 1950. It increased steadily to about US$90 billion in the early 1970s, reached a peak of US$100 billion at the end of the 1980s, and declined to about US$80 billion in 2000. The top 15 fishing countries cumulatively account for 79% of total real landed value, with Japan leading, even though the value of its landings has been declining.      

The Information Content of Dividend Initiations and Firm Size: An Analysis Using Bid-Ask Spreads

The bid-ask spread of stock prices is examined for a sample of dividend initiating firms. The average percentage and dollar bid-ask spreads increase significantly on the day preceding the Wall Street Journal Index announcement date, possibly reflecting, on average, the market maker's anticipatory uncertainty. The day -1 increase in spread is inversely associated with firm size, an information environment proxy, after considering the simultaneous effects of dividend yield, returns variance, dollar trading volume and share price. The average percentage spread declines significantly on day 0 from its day -1 level and remains lower, on average, over a 365 day post-announcement period than 90 day pre-announcement levels. Similar results are obtained for dollar spread averages. The post-announcement percentage spread decline suggests a resolution of uncertainty, and is positively associated with the dividend yield. Dividend initiation announcements appear to reduce informational asymmetry.     

Performance assessment of ensemble learning systems in financial data classification

Financial data classification plays an important role in investment and banking industry with the purpose to control default risk, improve cash and select the best customers. Ensemble learning and classification systems are becoming gradually more applied to classify financial data where outputs from different classification systems are combined. The objective of this research is to assess the relative performance of existing state‐of‐the‐art ensemble learning and classification systems with applications to corporate bankruptcy prediction and credit scoring. The considered ensemble systems include AdaBoost, LogitBoost, RUSBoost, subspace, and bagging ensemble system. The experimental results from three datasets: one is composed of quantitative attributes, one encompasses qualitative data, and another one combines both quantitative and qualitative attributes. By using ten‐fold cross‐validation method, the experimental results show that AdaBoost is effective in terms of low classification error, limited complexity, and short time processing of the data. In addition, the experimental results show that ensemble classification systems outperform existing models that were recently validated on the same databases. Therefore, ensemble classification system can be employed to increase the reliability and consistency of financial data classification task.     

Potential ecological and economic impacts of sea lice from farmed salmon on wild salmon fisheries

This paper examines the possible ecological and economic effects of sea lice from salmon farms on wild salmon populations and fisheries. A bioeconomic model is developed incorporating an age-structured population dynamics model of wild pink and chum salmon with mortality caused by farm-derived sea lice. Our model incorporates capture fisheries under two management policy scenarios. Results suggest that the ecological and economic effects are minor when the sea lice induced mortality rate is below 20%, while they can be severe if the mortality is greater than 30%. Sea lice have greater ecological and economic impacts on pink salmon than on chum salmon. The impact of farm lice epizootics on wild salmon is greater under a fixed exploitation rate than under a target escapement policy. As a result, a precautionary principle should be adopted, and appropriate management schemes and policy strategies should be developed to minimize these effects.     

The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

Time series analysis of the nexus among corruption,political instability and judicial inefficiency in Pakistan

The purpose of this study is two folds: firstly, to analyze the direction of causality between corruption and political instability directly and secondly, to determine the causality between corruption and political instability indirectly through judicial inefficiency in Pakistan. The causality between corruption, political instability and judicial inefficiency is tested by applying Toda–Yamamoto Granger causality test. The results show that there is a lack of direct causal relationship between corruption and political instability. However, political instability and corruption cause each other indirectly through judicial inefficiency. The study highlights the critical role of judicial inefficiency leading to an important policy implication.     

Financial liberalization and firms’ capital structure adjustments evidence from Southeast Asia and South America

This paper investigates the impact of financial liberalization on the adjustment of debt ratios in 12 emerging markets using firm-level data from 1991 to 2004. The results support the central hypothesis of this paper that adjustment costs are important in explaining firms’ adjustment toward their debt ratio targets. Our results show that deviations from targets are halved within 1.09 years in South America and 1.19 years in Southeast Asia, suggesting speed of adjustment is relatively faster in South American countries than Southeast Asian countries. Furthermore, our results show that after full liberalization those countries where rule of law and creditors rights were properly enforced, firms had higher adjustment speed compared to those countries where such enforcement was not present.The estimated adjustment coefficients imply that on average firms’ adjustment speeds have increased in all South American countries over the period of financial liberalization. On the contrary, firms’ adjustment speeds did not increase in Southeast Asian countries, reflecting the uneven effect of liberalization on the firms’ financing behaviour in Asian countries. There was a significant reduction in time (in years) taken to half the gap between actual debt ratios and targets only in Pakistan and South Korea. This finding supports the idea of uncertain impact of financial liberalization programs on the domestic financial markets in those emerging markets which started opening up their market and integrating with the rest of the world latter than others. These findings have significant implications for the sequence of banking sector liberalization in the emerging markets.     

Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory,knowledge gaps,and implications

The research aims to investigate business value critical success factors (CSFs) of enterprise systems (ES) through their life cycle in pursuit of resilient smart factory for emerging aircraft industry. This article provides an extensive literature analysis of past 22 years based on conscientious criteria of authors: (i) who have published strategic content relevant to CSFs, (ii) received more than 300 citations and (iii) concurrently published two or more papers relevant to ES CSFs. The most cited strategic CSFs were termed as classical CSFs. The 22 CSFs were identified, validated and synthesised for better understanding of success across life cycle by aircraft industry experts. The top 10 empirically verified CSFs have numerous differences with past generic classical CSFs. This article canvases real insights of two distinct views: process and variance approaches of the ES CSFs. The process approach, which is a neglected research area, facilitates the researchers for identification of ES life cycle process coupled with a view of resource deployment when it is needed the most. While the variance approach facilitates practitioners and researchers in finding out which resource (CSF) is relatively more important. The significant findings for ES life cycle can help the practitioners and researchers to make rational decisions throughout the ES life cycle.