The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.

The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.

The evolution of electricity demand and the role for demand side participation, in buildings and transport

This paper explores the possible evolution of UK electricity demand as we move along three potential transition pathways to a low carbon economy in 2050.The shift away from fossil fuels through the electrification of demand is discussed, particularly through the uptake of heat pumps and electric vehicles in the domestic and passenger transport sectors. Developments in the way people and institutions may use energy along each of the pathways are also considered and provide a rationale for the quantification of future annual electricity demands in various broad sectors. The paper then presents detailed modelling of hourly balancing of these demands in the context of potential low carbon generation mixes associated with the three pathways. In all cases, hourly balancing is shown to be a significant challenge. To minimise the need for conventional generation to operate with very low capacity factors, a variety of demand side participation measures are modelled and shown to provide significant benefits. Lastly, projections of greenhouse gas emissions from the UK and the imports of fossil fuels to the UK for each of the three pathways are presented.

Real-time forecasting of inflation and output growth with autoregressive models in the presence of data revisions

We examine how the accuracy of real-time forecasts from models that include autoregressive terms can be improved by estimating the models on ‘lightly revised’ data instead of using data from the latest-available vintage. The benefits of estimating autoregressive models on lightly revised data are related to the nature of the data revision process and the underlying process for the true values. Empirically, we find improvements in root mean square forecasting error of 2–4% when forecasting output growth and inflation with univariate models, and of 8% with multivariate models. We show that multiple-vintage models, which explicitly model data revisions, require large estimation samples to deliver competitive forecasts. Copyright © 2012 John Wiley & Sons, Ltd.

Global forecasting of thermal health hazards: the skill of probabilistic predictions of the Universal Thermal Climate Index (UTCI)

Although over a hundred thermal indices can be used for assessing thermal health hazards, many ignore the human heat budget, physiology and clothing. The Universal Thermal Climate Index (UTCI) addresses these shortcomings by using an advanced thermo-physiological model. This paper assesses the potential of using the UTCI for forecasting thermal health hazards. Traditionally, such hazard forecasting has had two further limitations: it has been narrowly focused on a particular region or nation and has relied on the use of single ‘deterministic’ forecasts. Here, the UTCI is computed on a global scale,which is essential for international health-hazard warnings and disaster preparedness, and it is provided as a probabilistic forecast. It is shown that probabilistic UTCI forecasts are superior in skill to deterministic forecasts and that despite global variations, the UTCI forecast is skilful for lead times up to 10 days. The paper also demonstrates the utility of probabilistic UTCI forecasts on the example of the 2010 heat wave in Russia.

An approach for solving the lot-sizing problem of a market-driven foundry

Foundries can be found all over Brazil and they are very important to its economy. In 2008, a mixed integer-programming model for small market-driven foundries was published, attempting to minimize delivery delays. We undertook a study of that model. Here, we present a new approach based on the decomposition of the problem into two sub-problems: production planning of alloys and production planning of items. Both sub-problems are solved using a Lagrangian heuristic based on transferences. An important aspect of the proposed heuristic is its ability to take into account a secondary practice objective solution: the furnace waste. Computational tests show that the approach proposed here is able to generate good quality solutions that outperform prior results. Journal of the Operational Research Society (2010) 61, 108-114. doi:10.1057/jors.2008.151

Citizens vs. banks: institutional drivers of financial market litigiousness in Brazil

This article analyzes the institutional drivers of Brazil’s alarmingly high levels of litigation between clients and financial institutions. Most of the policy oriented literature that explores that phenomenon discusses the impacts of a perceived debtor-friendly bias of Brazilian courts on generating feedback loops of litigation that further increases interest rates and creates adverse selection within the pool of potential debtors. This literature therefore addresses the way courts behave once disputes reach their doorstep; conversely, we take a step back to understand the underlying reasons for why such a large number of disputes end up in courts in the first place. We accordingly attribute endemic litigation in Brazilian financial markets to a framework of political, economic and legal institutions and circumstances, which this article aims to unbound and explain.

Corporate governance and its influence on the investment decision process of equity market's professionals: An inside view of how corporate governance issues influence the decision-making process of sell-side and buy-side professionals when analyzing Brazilian listed companies

Corporate governance has been in the spotlight for the past two decades, being subject of numerous researches all over the world. Governance is pictured as a broad and diverse theme, evolving through different routes to form distinct systems. This scenario together with 2 types of agency problems (investor vs. management and minorities vs. controlling shareholders) produce different definitions for governance. Usually, studies investigate whether corporate governance structures influence firm performance, and company valuation. This approach implies investors can identify those impacts and later take them into consideration when making investment decisions. However, behavioral finance theory shows that not always investors take rational decisions, and therefore the modus operandi of those professionals needs to be understood. So, this research aimed to investigate to what extent Brazilian corporate governance standards and practices influence the investment decision-making process of equity markets' professionals from the sell-side and buy-side. This exploratory study was carried out through qualitative and quantitative approaches. In the qualitative phase, 8 practitioners were interviewed and 3 dimensions emerged: understanding, pertinence and practice. Based on the interviews’ findings, a questionnaire was formulated and distributed to buy-siders and sell-siders that cover Brazilian stocks. 117 respondents from all over the world contributed to the study. The data obtained were analyzed through structural equation modeling and descriptive statistics. The 3 dimensions became 5 constructs: definition (institutionalized governance, informal governance), pertinence (relevance), practice (valuation process, structured governance assessment) The results of this thesis suggest there is no definitive answer, as the extent to which governance will influence an investment decision process will depend on a number of circumstances which compose the context. The only certainty is the need to present a “corporate governance behavior”, rather than simply establishing rules and regulations at firm and country level.

The analysis of foreign market entry strategies on the basis of different cultural backgrounds and environments: a qualitative study characterising the differences and similarities of Brazilian and European firms

Moving into a new and foreign market can be challenging, especially when such market has a different culture and working environment in comparison to the home market. Thus, it is of utter importance to adjust a company’s strategy to the new market conditions. Currently, there are no concrete guidelines of what aspects are most important when moving from a developing market such as Brazil into a more sophisticated market like Europe, or vice versa. The present study will examine two companies from the same industry, but with different cultural backgrounds and its strategic similarities and differences for operating in multiple international markets. The data was collected via semi-structured interviews with the Chief Executive Officers (CEOs’) from both companies, using an interview guideline that is based on three different theoretical frameworks. The aim is to give recommendations to these two industries of how to efficiently use existing theoretical frameworks and which aspects are most significant when moving into a new market while keeping in mind a company’s size and background.

The revenge of the market on the rentiers why neo-liberal reports of the end of history turned out to be premature

Starting from the perspective of heterodox Keynesian-Minskyian-Kindlebergian financial economics, this paper begins by highlighting a number of mechanisms that contributed to the current financial crisis. These include excess liquidity, income polarisation, conflicts between financial and productive capital, lack of intelligent regulation, asymmetric information, principal-agent dilemmas and bounded rationalities. However, the paper then proceeds to argue that perhaps more than ever the ‘macroeconomics’ that led to this crisis only makes analytical sense if examined within the framework of the political settlements and distributional outcomes in which it had operated. Taking the perspective of critical social theories the paper concludes that, ultimately, the current financial crisis is the outcome of something much more systemic, namely an attempt to use neo-liberalism (or, in US terms, neo-conservatism) as a new technology of power to help transform capitalism into a rentiers’ delight. And in particular, into a system without much ‘compulsion’ on big business; i.e., one that imposes only minimal pressures on big agents to engage in competitive struggles in the real economy (while inflicting exactly the opposite fate on workers and small firms). A key component in the effectiveness of this new technology of power was its ability to transform the state into a major facilitator of the ever-increasing rent-seeking practices of oligopolistic capital. The architects of this experiment include some capitalist groups (in particular rentiers from the financial sector as well as capitalists from the ‘mature’ and most polluting industries of the preceding techno-economic paradigm), some political groups, as well as intellectual networks with their allies – including most economists and the ‘new’ left. Although rentiers did succeed in their attempt to get rid of practically all fetters on their greed, in the end the crisis materialised when ‘markets’ took their inevitable revenge on the rentiers by calling their (blatant) bluff.