Combining multivariate density forecasts using predictive criteria

This paper combines multivariate density forecasts of output growth, inflationand interest rates from a suite of models. An out-of-sample weighting scheme based onthe predictive likelihood as proposed by Eklund and Karlsson (2005) and Andersson andKarlsson (2007) is used to combine the models. Three classes of models are considered: aBayesian vector autoregression (BVAR), a factor-augmented vector autoregression (FAVAR)and a medium-scale dynamic stochastic general equilibrium (DSGE) model. Using Australiandata, we find that, at short forecast horizons, the Bayesian VAR model is assignedthe most weight, while at intermediate and longer horizons the factor model is preferred.The DSGE model is assigned little weight at all horizons, a result that can be attributedto the DSGE model producing density forecasts that are very wide when compared withthe actual distribution of observations. While a density forecast evaluation exercise revealslittle formal evidence that the optimally combined densities are superior to those from thebest-performing individual model, or a simple equal-weighting scheme, this may be a resultof the short sample available.

CJJP Forecasts Increase in Special Sentence Sex Offenders Caseloads, Data Download, Iowa Department of Corrections, December 2011

The Iowa Sex Offender Research Council recently released a report to the Iowa General Assembly focusing on sex offender registration and the special sentence for sex offenders. Regarding the latter, the Council (staffed by the state’s Division of Criminal & Juvenile Justice Planning) projected a steady increase in community-based corrections’ special sentence caseloads from 619 offenders in 2011 to 2,651 offenders in 2021:

A probabilistic approach to niche-based community models for spatial forecasts of assemblage properties and their uncertainties

Aim Conservation strategies are in need of predictions that capture spatial community composition and structure. Currently, the methods used to generate these predictions generally focus on deterministic processes and omit important stochastic processes and other unexplained variation in model outputs. Here we test a novel approach of community models that accounts for this variation and determine how well it reproduces observed properties of alpine butterfly communities. Location The western Swiss Alps. Methods We propose a new approach to process probabilistic predictions derived from stacked species distribution models (S-SDMs) in order to predict and assess the uncertainty in the predictions of community properties. We test the utility of our novel approach against a traditional threshold-based approach. We used mountain butterfly communities spanning a large elevation gradient as a case study and evaluated the ability of our approach to model species richness and phylogenetic diversity of communities. Results S-SDMs reproduced the observed decrease in phylogenetic diversity and species richness with elevation, syndromes of environmental filtering. The prediction accuracy of community properties vary along environmental gradient: variability in predictions of species richness was higher at low elevation, while it was lower for phylogenetic diversity. Our approach allowed mapping the variability in species richness and phylogenetic diversity projections. Main conclusion Using our probabilistic approach to process species distribution models outputs to reconstruct communities furnishes an improved picture of the range of possible assemblage realisations under similar environmental conditions given stochastic processes and help inform manager of the uncertainty in the modelling results

Scenario-based traffic forecasts for the routes between the PENTA ports in 2020

Maritime transport is the foundation for trade in the Baltic Sea area. It represents over 15% of the world’s cargo traffic and it is predicted to increase by over 100% in the future. There are currently over 2,000 ships sailing on the Baltic Sea and both the number and the size of ships have been growing in recent years. Due to the importance of maritime traffic in the Baltic Sea Region, ports have to be ready to face future challenges and adapt to the changing operational environment. The companies within the transportation industry – in this context ports, shipowners and logistics companies – compete continuously and although the number of companies in the business is not particularly substantial because the products offered are very similar, other motives for managing the supply chain arise. The factors creating competitive advantage are often financial and related to cost efficiency, but geographical location, road infrastructure in the hinterland and vessel connections are among the most important factors. The PENTA project focuses on adding openness, transparency and sharing knowledge and information, so that the challenges of the future can be better addressed with regard to cooperation. This report presents three scenario-based traffic forecasts for routes between the PENTA ports in 2020. The chosen methodology is PESTE, in which the focus in on economic factors affecting future traffic flows. The report further analyses the findings and results of the first PENTA WP2 report “Drivers of demand in cargo and passenger traffic between PENTA ports” and utilises the same material, which was obtained through interviews and mail surveys.

Five Baltic Ports Togehter: Forecasts, Trends and Recommendations

The ports of Stockholm, Tallinn, Helsinki, Naantali and Turku play key roles in making the Central Baltic region accessible. Effective, competitive, eco-friendly and safe port procedures and solutions for the transportation of goods are of major importance for trade in the Baltic Sea region. This report presents the most essential results and recommendations of the PENTA project, which focused on how ports could better comprehend and face current and future challenges facing carriage of goods by sea. Each of the four work packages (WPs) of the PENTA project analysed the changes from a different perspective. WP2 focused on traffic flows between the PENTA ports. Its main emphasis was on the ports, shipowners, and logistics companies that are the key parties in freight transport and on the changes affecting the economy of those ports. In WP3 noise as an environmental challenge for ports was investigated and the analysis also shed light on the relationship between the port and the city. In WP4 procedures related to safety, security and administrative procedures were researched. The main emphasis was on identifying the requirements for the harmonisation of those procedures. Collaboration is highlighted throughout this report. In order to prepare for the future, it was found that ports need to respond to growing competition, increasing costs and shifts in customer demand by strengthening their existing partnerships with other actors in the maritime cluster. Cargo and passenger transport are the main sources of income for most ports. Cargo traffic between the PENTA ports is expected to grow steadily in the future and the outlook for passenger traffic is positive. However, to prepare for the future, ports should not only secure the core activities which generate revenue but also seek alternative ways to make profit. In order to gain more transit traffic, it is suggested that ports conduct a more thorough study of the future requirements for doing business with Russia. The investigation of noise at ports revealed two specific dilemmas that ports cannot solve alone. Firstly, the noise made by vessels and, secondly, the relationship between the port and the surrounding city. Vessels are the most important single noise source in the PENTA ports and also one of the hardest noise sources to handle. Nevertheless, port authorities in Finland and Sweden are held responsible for all noise in the port area, including noise produced by vessels, which is noise the port authority can only influence indirectly. Building housing by waterfront areas close to ports may also initiate disagreements because inhabitants may want quiet areas, whereas port activities always produce some noise from their traffic. The qualitative aspects of the noise question, cooperating with the stakeholders and the communicating of issues related to noise are just as important. We propose that ports should follow the logic of continuous improvement in their noise management. The administrative barriers discussed in this report are mainly caused by differences in international and national legislation, variations in the customs procedures of each country, the incompatibility of the IT systems used in maritime transport, noncompliance with regulations regarding dangerous goods, and difficulties in applying Schengen regulations to vessels from non-EU countries. Improving the situation is out of the hands of the ports to do alone and requires joint action on a variety of levels, including the EU, national authorities and across administrative borders.

The time series convergence of dispersion in financial analysts' forecasts

Finansanalytiker har en stor betydelse för finansmarknaderna, speciellt igenom att förmedla information genom resultatprognoser. Typiskt är att analytiker i viss grad är oeniga i sina resultatprognoser, och det är just denna oenighet analytiker emellan som denna avhandling studerar. Då ett företag rapporterar förluster tenderar oenigheten gällande ett företags framtid att öka. På ett intuitivt plan är det lätt att tolka detta som ökad osäkerhet. Det är även detta man finner då man studerar analytikerrapporter - analytiker ser ut att bli mer osäkra då företag börjar gå med förlust, och det är precis då som även oenigheten mellan analytikerna ökar. De matematisk-teoretiska modeller som beskriver analytikers beslutsprocesser har däremot en motsatt konsekvens - en ökad oenighet analytiker emellan kan endast uppkomma ifall analytikerna blir säkrare på ett individuellt plan, där den drivande kraften är asymmetrisk information. Denna avhandling löser motsägelsen mellan ökad säkerhet/osäkerhet som drivkraft bakom spridningen i analytikerprognoser. Genom att beakta mängden publik information som blir tillgänglig via resultatrapporter är det inte möjligt för modellerna för analytikers beslutsprocesser att ge upphov till de nivåer av prognosspridning som kan observeras i data. Slutsatsen blir därmed att de underliggande teoretiska modellerna för prognosspridning är delvis bristande och att spridning i prognoser istället mer troligt följer av en ökad osäkerhet bland analytikerna, i enlighet med vad analytiker de facto nämner i sina rapporter. Resultaten är viktiga eftersom en förståelse av osäkerhet runt t.ex. resultatrapportering bidrar till en allmän förståelse för resultatrapporteringsmiljön som i sin tur är av ytterst stor betydelse för prisbildning på finansmarknader. Vidare används typiskt ökad prognosspridning som en indikation på ökad informationsasymmetri i redovisningsforskning, ett fenomen som denna avhandling därmed ifrågasätter.