Search results for "lcsh:Risk in industry. Risk management"

showing 3 items of 3 documents

Next-Day Bitcoin Price Forecast

2019

This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re-estimation of the forecast model for each step. For cross-validation of forecast results, we consider two different training and test samples. In the first training-sample, NNAR performs better than ARIMA, while ARIMA outperforms NNAR in the second training-sample. Additionally, ARIMA with model re-estimation at each step outperforms NNAR in the two test-sample forecast periods. The Diebold Mariano test confirms the superiority of forecast …

Cryptocurrency050208 financeVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212Computer sciencelcsh:Risk in industry. Risk management05 social sciencesARIMAPrice predictionlcsh:HD61cryptocurrencyPrice forecastVDP::Samfunnsvitenskap: 200::Økonomi: 210Autoregressive modellcsh:Financelcsh:HG1-99990502 economics and businessddc:330EconometricsAutoregressive integrated moving average050207 economicsstatic forecastartificial neural networkBitcoinJournal of Risk and Financial Management
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The Risk Society: Towards a new modernity

2009

The present review discusses one of the pioneer projects authored by Ulrich Beck, regarding risk perception issues, which was originally titled Risikogesellshaft, Auf dem weg in eine andere Moderne or in English The society of risk, towards a new modernity. This review is part of a broader project related to a Social Psychology doctoral thesis on fears of travelling in urban circumstances.

GovernmentSocial psychology (sociology)PovertyModernitymedia_common.quotation_subjectlcsh:Risk in industry. Risk managementVulnerabilityGender studiesManagement Monitoring Policy and LawIndigenouslcsh:HD61Risk perceptionRisk societySociologySocial scienceSafety Researchmedia_commonJàmbá: Journal of Disaster Risk Studies
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Insurance mechanisms for tropical cyclones and droughts in Pacific Small Island Developing States

2016

One group of locations significantly affected by climate-related losses and damage is the Small Island Developing States (SIDS). One mechanism aiming to reduce such adverse impacts is insurance, with a wide variety of products and models available. Insurance for climate-related hazards affecting Pacific SIDS has not been investigated in detail. This article contributes to filling this gap by exploring how insurance mechanisms might be implemented in the Pacific SIDS for tropical cyclones and droughts. The study examines opportunities and constraints or limitations of some existing insurance mechanisms and programmes as applied to the Pacific SIDS. Eight insurance mechanisms are compared and…

ReinsuranceEconomic growth010504 meteorology & atmospheric sciencesDisaster risk reductiontropical cycloneNatural resource economicslcsh:Risk in industry. Risk managementdroughtManagement Monitoring Policy and Law01 natural sciencesGross domestic product0502 economics and businessdisaster risk reduction (DRR)Per capita050207 economicsOriginal Research0105 earth and related environmental sciencesDamage cost05 social scienceslcsh:HD61IncentivedisasterBusinessSmall Island Developing StatesTropical cycloneSafety ResearchinsuranceJàmbá: Journal of Disaster Risk Studies
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