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Fordrer det noe spesielt å lede en samfunnsansvarlig bedrift?: Autentisk ledelse og samfunnsansvar
(Journal article; Peer reviewed, 2009)Denne artikkelen tar opp hva som kreves av en leder for å sikre atbedriften oppfattes som samfunnsansvarlig. Krever det noe spesielt av slike ledere, og er dette «lille ekstra» autentisk ledelse? Artikkelen sammenligner ... -
Forecasting and Hedging in the Ship Recycling Market
(Master thesis, 2021)This study examines the accuracy and hedge effectiveness of different static models to forecast and hedge ship demolition prices. Nine international forecasting variables and six futures contracts relevant in the ship ... -
Forecasting consumer confidence through semantic network analysis of online news
(Peer reviewed; Journal article, 2023)This research studies the impact of online news on social and economic consumer perceptions through semantic network analysis. Using over 1.8 million online articles on Italian media covering four years, we calculate the ... -
Forecasting crude oil futures volatility
(Master thesis, 2013-02-18)This thesis examines the accuracy of different volatility models in forecasting the volatility of West Texas Intermediate crude oil futures returns. We examine the information content of implied volatility by embedding it ... -
Forecasting Cryptocurrencies Financial Time Series
(CAMP Working Paper Series;5, Working paper, 2018-03)This paper studies the predictability of cryptocurrencies time series. We compare several alternative univariate and multivariate models in point and density forecasting of four of the most capitalized series: Bitcoin, ... -
Forecasting cryptocurrencies under model and parameter instability
(Journal article; Peer reviewed, 2019)This paper studies the predictability of cryptocurrency time series. We compare several alternative univariate and multivariate models for point and density forecasting of four of the most capitalized series: Bitcoin, ... -
Forecasting electricity prices with expert, linear, and nonlinear models
(Peer reviewed; Journal article, 2022)This paper compares several models for forecasting regional hourly day-ahead electricity prices, while accounting for fundamental drivers. Forecasts of demand, in-feed from renewable energy sources, fossil fuel prices, and ... -
Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach
(CAMP Working Paper Series;11/2019, Working paper, 2019-12)This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially ... -
Forecasting energy commodity prices: A large global dataset sparse approach
(Journal article; Peer reviewed, 2021)This paper focuses on forecasting quarterly nominal global energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of ... -
Forecasting financial markets with semantic network analysis in the COVID-19 crisis
(Peer reviewed; Journal article, 2022)This paper uses a new textual data index for predicting stock market data. The index is applied to a large set of news to evaluate the importance of one or more general economic-related keywords appearing in the text. The ... -
Forecasting GDP with global components. This time is different
(CAMP Working Papers Series;1/2015, Working paper, 2015)A long strand of literature has shown that the world has become more global. Yet, the recent Great Global Recession turned out to be hard to predict, with forecasters across the world committing large forecast errors. ... -
Forecasting Implied Volatility Returns for At-The-Money Currency Options Using Machine Learning
(Master thesis, 2023)This paper explores the use of machine learning models to predict what characteristics affect illiquidity in stocks using historical data. The paper uses thirteen different regressions, exploring the effects of 43 ... -
Forecasting Norwegian Mainland Gross Domestic Product - Using Deep Learning Algorithms
(Master thesis, 2022)Gross domestic product is a measure of overall economic activity. It is therefore regarded as one of the most important summary factors for understanding the economic state of a country. Hence, an accurate prediction of ... -
Forecasting Norwegian Mainland Gross Domestic Product : Using Deep Learning Algorithms
(Master thesis, 2022)Gross domestic product is a measure of overall economic activity. It is therefore regarded as one of the most important summary factors for understanding the economic state of a country. Hence, an accurate prediction of ... -
Forecasting Realized Volatility with Earnings Announcements and Overnight Returns
(Master thesis, 2023)In our study, we forecast realized volatility utilizing a large panel of stocks from the S&P 500, with the inclusion of overnight returns and earnings announcements. Our comparative analysis employs both the heterogeneous ... -
Forecasting rental rates for Norwegian commercial real estate
(Master thesis, 2012-05-14)This study seeks to identify key determinants of rents of commercial real estate in Oslo and formulate econometric models capable of describing and predicting their movements. Such a model will improve the precision of ... -
Forecasting the U.S. Treasury Yield Curve using Targeted Diffusion Indices
(Master thesis, 2020)We investigate possible empirical linkages between variation in the U.S. Treasury yield curve and several measures of economic and financial activity by the methodology targeted diffusion index forecasting. First, we ... -
Forecasting: An Essential Introduction
(Journal article, 2020) -
Foreign acquisitions : the end of the Norwegian IT industry?
(Master thesis, 2014-02-11)When Norwegian IT companies are sold out of the country it often results in a debate regarding the effects it might have on the industry. There are both skeptics and those that endorse these acquisitions, but to our ... -
Foreign aid strategies: China taking over?
(Journal article; Peer reviewed, 2010)Over the past decade China has emerged as an important source of foreign aid for African countries. Providing aid on terms of its own choosing, China challenges the current foreign aid paradigm in four main ways: ...