Uncovering predictability in the evolution of the WTI oil futures curve

Accurately forecasting the price of oil, the world's most actively traded commodity, is of great importance to both academics and practitioners. We contribute by proposing a functional time series based method to model and forecast oil futures. Our approach boasts a number of theoretical and practical advantages including effectively exploiting underlying process dynamics missed by classical discrete approaches. We evaluate the finite-sample performance against established benchmarks using a model confidence set test. A realistic out-of-sample exercise provides strong support for the adoption of our approach with it residing in the superior set of models in all considered instances.Comment: 28 pages, 4 figures, to appear in European Financial Managemen

The association between seafood intake and fecundability: Analysis from two prospective studies

Background: Seafood is an important source of omega\u20103 fatty acids, which have been associated with improved oocyte quality and embryo morphology in some studies. However, seafood is also a source of persistent organic pollutants and heavy metals, which may adversely affect fecundity. Previous studies of seafood intake and fecundity have generated inconsistent results. Methods: In two prospective cohort studies of 7836 female pregnancy planners from Denmark (Snart Foraeldre, n = 2709) and North America (PRESTO, n = 5127), we evaluated the association of dietary intake of total seafood and marine\u2010sourced long\u2010chain omega\u20103 fatty acids (eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid) with fecundability. Participants completed a baseline questionnaire on sociodemographics, behavioral factors, anthropometrics, and medical history, and a food frequency questionnaire. Pregnancy status was updated bimonthly for up to 12 months or until reported conception. We estimated fecundability ratios (FRs) and 95% confidence intervals (CIs) using proportional probabilities regression models, adjusted for energy intake and other potential confounders. We restricted analyses to women with 646 menstrual cycles of attempt time at enrollment. Results: Intake of total seafood or marine\u2010sourced long\u2010chain omega\u20103 fatty acids was not appreciably associated with fecundability in either cohort ( 65200 vs. <50 g/week total seafood: FR = 0.94, 95% CI: 0.79\u20131.10 in Snart Foraeldre; FR = 1.00, 95% CI: 0.90\u20131.13 in PRESTO; marine fatty acids: 6590th vs. <25th percentile: FR = 1.00, 95% CI: 0.85\u20131.18 in Snart Foraeldre; FR = 0.97, 95% CI: 0.86\u20131.09 in PRESTO). In PRESTO, where we collected additional data on seafood preparation, we observed an inverse association between fecundability and fried shellfish ( 6510 g/week vs. none: FR = 0.77, 95% CI: 0.61\u20130.98), but not unfried shellfish ( 6520 g/week vs. none: FR = 0.98, 95% CI: 0.89\u20131.07); in Snart Foraeldre, there was no association with total shellfish intake. Conclusions: We found little association between seafood intake and fecundability overall, but greater intake of fried shellfish was associated with reduced fecundability among North American participants

FABM-PCLake – linking aquatic ecology with hydrodynamics

This study presents FABM-PCLake, a redesigned structure of the PCLake aquatic ecosystem model, which we implemented in the Framework for Aquatic Biogeochemical Models (FABM). In contrast to the original model, which was designed for temperate, fully mixed freshwater lakes, the new FABM-PCLake represents an integrated aquatic ecosystem model that can be linked with different hydrodynamic models and allows simulations of hydrodynamic and biogeochemical processes for zero-dimensional, one-dimensional as well as three-dimensional environments. FABM-PCLake describes interactions between multiple trophic levels, including piscivorous, zooplanktivorous and benthivorous fish, zooplankton, zoobenthos, three groups of phytoplankton and rooted macrophytes. The model also accounts for oxygen dynamics and nutrient cycling for nitrogen, phosphorus and silicon, both within the pelagic and benthic domains. FABM-PCLake includes a two-way communication between the biogeochemical processes and the physics, where some biogeochemical state variables (e.g., phytoplankton) influence light attenuation and thereby the spatial and temporal distributions of light and heat. At the same time, the physical environment, including water currents, light and temperature influence a wide range of biogeochemical processes. The model enables studies on ecosystem dynamics in physically heterogeneous environments (e.g., stratifying water bodies, and water bodies with horizontal gradients in physical and biogeochemical properties), and through FABM also enables data assimilation and multi-model ensemble simulations. Examples of potential new model applications include climate change impact studies and environmental impact assessment scenarios for temperate, sub-tropical and tropical lakes and reservoirs

Limitations to recording larger mammalian predators in savannah using camera traps and spoor

Traditionally, spoor (tracks, pug marks) have been used as a cost effective tool to assess the presence of larger mammals. Automated camera traps are now increasingly utilized to monitor wildlife, primarily as the cost has greatly declined and statistical approaches to data analysis have improved. While camera traps have become ubiquitous, we have little understanding of their effectiveness when compared to traditional approaches using spoor in the field. Here, we a) test the success of camera traps in recording a range of carnivore species against spoor; b) ask if simple measures of spoor size taken by amateur volunteers is likely to allow individual identification of leopards and c) for a trained tracker, ask if this approach may allow individual leopards to be followed with confidence in savannah habitat. We found that camera traps significantly under-recorded mammalian top and meso-carnivores, with camera traps more likely under-record the presence of smaller carnivores (civet 64%; genet 46%, Meller’s mongoose 45%) than larger (jackal sp. 30%, brown hyena 22%), while leopard was more likely to be recorded by camera trap (all recorded by camera trap only). We found that amateur trackers could be beneficial in regards to collecting presence data; however the large variance in measurements of spoor taken in the field by volunteers suggests that this approach is unlikely to add further data. Nevertheless, the use of simple spoor measurements in the field by a trained field researcher increases their ability to reliably follow a leopard trail in difficult terrain. This allows researchers to glean further data on leopard behaviour and habitat utilisation without the need for complex analysis

Dietary choices and environmental impact in four European countries

Effective food policies in Europe require insight into the environmental impact of consumers’ diet to contribute to global nutrition security in an environmentally sustainable way. The present study therefore aimed to assess the environmental impact associated with dietary intake across four European countries, and to explain sources of variations in environmental impact by energy intake, demographics and diet composition. Individual-level dietary intake data were obtained from nationally-representative dietary surveys, by using two non-consecutive days of a 24-h recall or a diet record, from Denmark (DK, n = 1710), Czech Republic (CZ, n = 1666), Italy (IT, n = 2184), and France (FR, n = 2246). Dietary intake data were linked to a newly developed pan-European environmental sustainability indicator database that contains greenhouse gas emissions (GHGE) and land use (LU) values for ∼900 foods. To explain the variation in environmental impact of diets, multilevel regression models with random intercept and random slopes were fitted according to two levels: adults (level 1, n = 7806) and country (level 2, n = 4). In the models, diet-related GHGE or LU was the dependent variable, and the parameter of interest, i.e. either total energy intake or demographics or food groups, the exploratory variables. A 200-kcal higher total energy intake was associated with a 9% and a 10% higher daily GHGE and LU. Expressed per 2000 kcal, mean GHGE ranged from 4.4 (CZ) to 6.3 kgCO2eq/2000 kcal (FR), and LU ranged from 5.7 (CZ) to 8.0 m2*year/2000 kcal (FR). Dietary choices explained most of the variation between countries. A 5 energy percent (50 g/2000 kcal) higher meat intake was associated with a 10% and a 14% higher GHGE and LU density, with ruminant meat being the main contributor to environmental footprints. In conclusion, intake of energy, total meat and the proportion of ruminant meat explained most of the variation in GHGE and LU of European diets. Contributions of food groups to environmental footprints however varied between countries, suggesting that cultural preferences play an important role in environmental footprints of consumers. In particular, Findings from the present study will be relevant for national-specific food policy measures towards a more environmentally-friendly diet.</p