Topics for master theses

Topics for master theses

The Department of Business and Management Science can offer the following Master Theses topics:

  • Linking results from text analysis of mutual fund newsletters to returns, costs, and active fund management

    Linking results from text analysis of mutual fund newsletters to returns, costs, and active fund management

    The Master Thesis should identify if the information in mutual fund newsletters and/or prospects are reflected in returns or level of active management, or if this is just marketing to attract investors and assets under management. The topic will use simple text analysis tools by identifying and counting certain words in the documents.

    Supervisors: Andreas Ørpetveit and Trond M. Døskeland.

  • Performance evaluation for mutual funds

    Performance evaluation for mutual funds

    Supervisor: Trond M. Døskeland.

  • Identifying financial behavioral biases for households

    Identifying financial behavioral biases for households

    Supervisor: Trond M. Døskeland.

  • En analyse av seniorlån

    En analyse av seniorlån

    Supervisor: Petter Bjerksund.

  • Kapitaliseringsrenten – et økonomisk perspektiv på utmåling av erstatning

    Kapitaliseringsrenten – et økonomisk perspektiv på utmåling av erstatning

    Supervisor: Petter Bjerksund.

  • Valutasikring av sparing i globale fond – hvor mye koster det egentlig?

    Valutasikring av sparing i globale fond – hvor mye koster det egentlig?

    Supervisor: Petter Bjerksund.

  • Risk Management

    Risk Management

    Analyze a given company or a given line of business exposed to price risk from commodities/services sold or bought. May also be combined with currency risk. What is the level of risk, how do we measure it, which instruments are available to deal with this risk and how successful is the risk-reducing strategy, using these instruments. Hedging strategies are based on a combination of risk-reduction and expected values, so both components may be included in the analyses.

    Supervisor: Øystein Gjerde.

  • Management Practice and Tax Avoidance

    Management Practice and Tax Avoidance

    Does the general management system of a firm affect its tax management? Do better managed firms engage in more or less tax avoidance? The World Management Survey (WMS) provides firm-level data on confidential information about management practice in individual firms. Data w/o firm identifiers is readily available, so a cross Orbis (which is available at NHH)  for a micro-level analysis. 

    Supervisor: Maximilian Todtenhaupt.

  • How did the US Tax Bill affect M&As?

    How did the US Tax Bill affect M&As?

    The 2017 TCJA may significantly change the pattern of corporate M&As. For instance, it has lifted the original use requirement for immediate depreciation of acquired assets. That makes it much more attractive to structure deals as asset purchases rather than stock acquisitions. Furthermore, net operating losses before and after January 1, 2018 are treated differently. An empirical analysis could use either Zephyr or SDC Platinum (both of which are available at NHH, I think) to explore early signs of these changes.

    Supervisor: Maximilian Todtenhaupt.

  • Bankruptcy prediction

    Bankruptcy prediction

    Bankruptcy prediction is of interest to lenders, bank regulators, equity investors, bondholders and participants in the CDS market because probability of distress affects firm value and distribution of payouts to different stakeholders. The thesis should summarize the history of bankruptcy prediction, and describe the current state-of-the-art. Finally, it should be applied to a sample of Norwegian firms.

    Supervisor: Steffen Juranek.

  • Dividend taxation, Cum-Cum Trading and Ex-Dividend Pricing

    Dividend taxation, Cum-Cum Trading and Ex-Dividend Pricing

    A common tax planning strategy among investors is to sell their stocks the day before dividends are due, and buy them back on the ex-dividend day. This strategy, known as cum-cum trading, allows investors to avoid paying dividend taxes. The Norwegian tax authorities are considering to implement policies that make cum-cum trading less attractive in order to generate more dividend tax revenue. Your task will be to see how cum-cum trading relates to taxation and other policy variables, using international stock market data. Questions that you could answer in this topic are: Do stock market experience excess trade around the dividend day? Does excess trade relate to the dividend tax rate? Do stock prices reflect the level of the dividend tax? Are policies aimed at combatting cum-cum trading effective in other countries?

    Supervisor: Floris Zoutman.

  • Gjeldsskifting og tapssansynlighet

    Gjeldsskifting og tapssansynlighet

    Ny teori innen bedriftsbeskatning tilsier at multinasjonale foretak må ta sannsynligheten for at enkelte av datterselskapene i konsernet kan gå med tap. Det trengs mer empirisk innsikt i hvordan dette påvirker beslutningene om gjeldsgrad og –sammensetning i selskapene.

    Data: Utenlandsoppgaven, Dun&Bradstreet, Amadeus/Orbis

    Supervisor: Arnt Ove Hopland.

  • Formuesforvaltere og finansrådgivere med norske kunder som målgruppe

    Formuesforvaltere og finansrådgivere med norske kunder som målgruppe

    Hvem er aktørene? Oversikt over formuesforvaltere og finansrådgivere for norske privatkunder.

    • Er det forskjellige aktører som gir råd, tilbyr konto, investeringer, eiendom, stråselskaper, utenlandske betalingskort o.l.? Hvem samarbeider om hva? Hvem er kontaktpunktet til kunden?
    • Hvor store verdier forvalter de for norske kunder
    • Markedsføringsstrategier
    • Hvem er kunder og hvordan de rekrutteres
    • Hva selger de og til hvem?
    • Hvor mye skatt sparer kundene på tjenestene?
    • Er det mulig å si noe om det er skattemotivert eller andre årsaker til bruk?
    • Kan studentene se hvordan produktene som blir solgt til norske kunder eventuelt kan bli misbrukt til skatteunndragelse? Hvordan? Hvor er smutthullene?

    In cooperation with Skatteetaten.

    Supervisor: Floris Zoutman.

  • Klimanjaro: An energy retailer’s program for climate neutrality amongst its suppliers: Why, How, and How much?

    Klimanjaro: An energy retailer’s program for climate neutrality amongst its suppliers: Why, How, and How much?

    Fjordkraft, the largest electricity retailer in our Bergen/Hordaland region, boasts leverage amongst it suppliers, who sign up for carbon neutrality. A master thesis team of students is sought to analyse the program: motivation, modalities, and results. This thesis can be written from various angles, so more than one thesis is possible. A committed counterpart in Fjordkraft’s management as well as NHH supervision can be counted upon.

    Be quick in responding!

    Supervisor: Gunnar S. Eskeland.

  • Economics of organization and management control

    Economics of organization and management control

    Including the use of bonus pay (case studies or across companies), how to measure performance, balanced scorecard (or alternative ways to use key performance indicators for management control purposes), drivers of profitability in an industry or a company, beyond budgeting, transfer pricing, and organizational boundaries.

    Supervisor: Iver Bragelien.

  • Topics on Organizational Econmics and Industrial Organization

    Topics on Organizational Econmics and Industrial Organization

    Some examples from the past:

    • Om kontrakter og incentiver i ERP-implementering
    • En teoretisk analyse av innovasjonsinsentivene i Posten Norge AS
    • Digitalisering i Bygg- og anleggsnæringen
    • Kundelojalitetsprogrammer i det norske dagligvaremarkedet
    • Utviklingen av markedsstrukturen i den norske dagligvarebransjen
    • Lønnsomhetsforskjeller i større foretak (norsk møbelbransje)

    Supervisor: Trond E. Olsen.

  • Financing Innovation and Skattefunn

    Financing Innovation and Skattefunn

    Innovation is seen as the key driver of firm productivity and economic growth. However, contrary to investments in tangible assets, innovation investments have a number of peculiarities. Especially, intangibility, a high level of uncertainty negatively affect the availability of external financing. In order to promote innovation in Norway, the government introduced a scheme that grants firms tax credits for granted projects – Skattefunn. The Norwegian Tax Administration aims to better understand the effect of Skattefunn on innovation, especially in towards the specific design of the tax incentive scheme.

    In cooperation with Skatteetaten.

    Supervisor: Steffen Juranek.

  • Women and innovation in Europe

    Women and innovation in Europe

    It can be empirically observed that women are underrepresented in science and research. This is likely to have negative consequences for firm productivity and economic growth because talent is not used efficiently. The aim of the Master Theses is to analyze the female share among inventors within Europe. What is the female share in Europe today? How did it develop over time? How does it differ across Europe? Why does it differ? How can it be increased?

    Supervisor: Steffen Juranek.

  • Telenor-boten

    Telenor-boten

    Konkurransetilsynet gav i juni Telenor 788 mill. i bot. De mener Telenor har misbrukt sin markedsmakt ved å forhindre at et tredje mobilnett ble utbygd, og ilegger selskapet 788 millioner i overtredelsesgebyr. Telenor nekter for å ha gjort noe galt. Hva ligger bak denne boten? Er den korrekt?

    Krav: God bakgrunn i IO. Konkurranserett bra, men ikke nødvendig.

    Supervisor: Øystein Foros.

  • Telia-Get fusjonen

    Telia-Get fusjonen

    Gjøre en konkurranseanalyse av media/telemarkedet.

    Supervisor: Øystein Foros.

  • Konkurransen i mobilmarkedet

    Konkurransen i mobilmarkedet

    Sammenligne f.eks. Norge og Finland som har ulik markedsstruktur. Mye deskriptiv empiri for å bedre forstå markedet og forskjellen mellom landene.

    Supervisor: Øystein Foros.

  • Bokavtalen

    Bokavtalen

    Kulturminister Trine Skei Grande har nylig foreslått å utvide bokavtalen. Det vil gi en lengre fastprisperiode og høyere priser på opptil 65 prosent av bøkene. Den norske bokavtalen, som gir forleggerne rett til å sette en fast pris på nye bøker, er havnet i søkelyset til Efta-landenes overvåkningsorgan Esa. Nylig besvarte Nærings- og fiskeridepartementet (NFD), på vegne av den norske regjeringen, en rekke spørsmål fra Esa om forholdet mellom bokavtalen og EØS-avtalens eksplisitte forbud mot prissamarbeid i artikkel 53. Her kunne det være interessant å sammenligne med kommisjonens sak mot Amazon ift most-favored nation (MFN) klausuler.

    Supervisor: Øystein Foros.

  • Personalisert prising

    Personalisert prising

    Med utgangspunkt i prosjektet Moving towards the market of one? Competition with personalized pricing and endogenous mismatch costs, jobbe med applikasjoner? Kan også knyttet opp mot AI.

    Supervisor: Øystein Foros.

  • Topics on Environmental Economics

    Topics on Environmental Economics

    Potential topics are:

    • Zero emissions (in shipping/buildings/road veh/airplanes): too much, or just right?
    • Certificates of Origin for Electricity; Stepchild or rising star?
    • A carbon cap for Norwegian farmers: Let forests do what cows and farmers cannot?
    • Carbon footprint and economic analysis for a firm/sector
    • Hydrogen: which part is failing: cars, hydrogen or filling and logistics
    • A new look at biomass and biofuels: can photosynthesis propel transport
    • Oceans in a sustainability strategy
    • Solar power: if a leap lies ahead, what can trigger it
    • Decentralized power generation in Norway: framework and business analysis
    • Renewable power in Norway: shall it expand, and with what instruments
    • A role for Norway as a battery for Europe’s intermittent power
    • A business analysis of Norway’s three proposed carbon capture and storage projects (cement, fertilizer, waste dump)
    • Analysis of emission reduction prospects in Norwegian transport
    • Econometric analysis of demand for energy (or carbon) intensive goods, transport
    • Forests: More wood and biomass in buildings: Economic analysis of climate prospects
    • Financial markets: is there evidence of ‘sin portfolios’ or ‘virtue’ (or green/fossil)? The value of fossil assets / promises in financial markets
    • Analysis of CO2 markets
    • Modeling energy exchange in Northern Europe

    Supervisor: Gunnar S. Eskeland.

  • The petroleum industry in the Barents Sea and other vulnerable areas: environmental and economic analysis of the activity

    The petroleum industry in the Barents Sea and other vulnerable areas: environmental and economic analysis of the activity

    Supervisor: Stein Ivar Steinshamn.

  • Fossil fuel markets and management: Should the transition to renewable go through natural gas?

    Fossil fuel markets and management: Should the transition to renewable go through natural gas?

    Supervisor: Stein Ivar Steinshamn.

  • Need for nuclear power to replace fossil fuel: New nuclear power

    Need for nuclear power to replace fossil fuel: New nuclear power

    Supervisor: Stein Ivar Steinshamn.

  • Electricity in the transport sector: Economic and environmental effects

    Electricity in the transport sector: Economic and environmental effects

    Supervisor: Stein Ivar Steinshamn.

  • Topics on Energy Economics

    Topics on Energy Economics

    Potential topics

    • Hvordan dele verdier i en felles oljeproduksjon (borerigg) hvor ulik og usikker oljekvalitet samles fra satellittfelt med ulike eiere? (Mulig nytt KPN, Kompetanse Prosjekt i Næringslivet)
    • Can Norway capture more of the value chain of energy by not committing to be Europe’s green battery?
    • Hydrogen: which part is failing: cars, hydrogen or filling and logistics?
    • Solar power: if a leap lies ahead, what can trigger it?
    • Decentralized power generation in Norway: Framework and business analysis
    • A role for Norway as a battery for Europe’s intermittent power
    • A business analysis of Norway’s three proposed carbon capture and storage projects (cement, fertilizer, waste dump)
    • Empiriske analyser av norske sluttbrukermarkeder for elektrisitet
    • Risikoaversjon i sluttselgermarkedet

    Supervisor: Leif K. Sandal.

  • Detection of tax evasion by unsupervised learning

    Detection of tax evasion by unsupervised learning

    Unsupervised learning is the study of patterns in a dataset when there is no explicit response variable one would like to explain the variation of. Can unsupervised learning techniques be used to detect tax evasion with any precision? Are tax authorities exploiting such techniques when they lack an explicit response variable? Is there a reason to use unsupervised learning if only an error-ridden response variable is available? The questions can be answered by a combination of a literature study, an investigation of how tax authorities use unsupervised learning and comparison of supervised and unsupervised methods on simulated and real data.

    Data source: Tax returns and other sources from Tax Norway

    In cooperation with Skatteetaten.

    Supervisor: Jonas Andersson.

  • Sivilrettslig inndragning av utbytte fra kriminelle handlinger

    Sivilrettslig inndragning av utbytte fra kriminelle handlinger

    JD nå jobber med forslag til lov om sivilrettslig inndragning (etter en utredning av prof. Jon Petter Rui). Tidligere er det blitt foreslått en nasjonal enhet som skal sikre fratagelse av verdier gjennom både sivilrettslige og strafferettslige verktøy. Disse to tiltakene ble utredet parallelt. Regjeringen sa nylig at dette hadde noen praktiske hindre, uten å gå nærmere inn på hva disse er. Er sivilrettslig inndragning et effektivt virkemiddel? Kan det bøte på det ofte rapporterte problemet om manglende kapasitet og/eller kompetanse i politidistriktet? Hva er de praktiske hindringene regjeringen refererer til? Hva er erfaringene i andre land som har brukt dette, hva er potensielle fallgruver og hva har hatt best effekt? Hvor stor er den preventive effekten av å ramme utbyttet/profitten fra den kriminelle virksomheten? Samarbeidsforum kan bidra som diskusjonspartner.

    In cooperation with Skatteetaten.

    Supervisor: Evelina Gavrilova-Zoutman.

  • Den offentlige innkjøpers som en viktig samfunnsaktør

    Den offentlige innkjøpers som en viktig samfunnsaktør

    Norge bruker over 500 mrd. kroner årlig på offentlige anskaffelser. En offentlig innkjøper sitter således med store muligheter til å bidra i arbeidet mot arbeidslivskriminialtet og sosial dumping/svart økonomi. Allerede i formålsparagrafen i lov om offentlige anskaffelser (LOA) er innkjøper forpliktet til å i vareta samfunnsmessige hensyn. I sin behandling påpekte Stortinget at dette også betydde kampen mot arbeidslivskriminalitet.  Regelverket gir et stort handlingsrom for innkjøper. Spørsmålet blir hvordan kommunale og fylkeskommunale enheter i Norge bruker dette handlingsrommet. Ledelsesforankring er et viktig stikkord her. Uten en forankring på alle plan (politiske vedtak osv.) vil innkjøper møte større utfordringer. 

    Hvilke strategidokumenter har innkjøper utarbeidet, og blir disse fulgt? Vi har fått mange ulike modeller som er politisk vedtatt (f.eks. Oslomodellen). Er det mulig å se noen resultater av disse? Hva med ""10 gode grep"" som ble utarbeidet. Er denne blitt brukt, og hvordan? Noen kommuner og offentlige organisasjoner har hatt problemer i forbindelse med mulig arbeidslivskriminalitet og sosial dumping (f.eks. måtte en kontrakt lyses ut på nytt av Helse Bergen etter at leverandør kastet inn kortene. I dette tilfelle hadde Helse Bergen allerede blitt advart om at det valgte tilbudet «luktet» social dumping. En daglig leder i et malerfirma måtte for noen måneder siden møte i retten, tiltalt for å ha organisert svart arbeid på Stortinget) Har disse hendelsene gitt noen endringer/forbedringer i organisasjonen og dens innkjøpsstrategi?

    Data: Casebasert oppgave.

    Starting Point: Ta kontakt med relevante aktører (Difi, Bergen (eller annen) kommunes innkjøpsavdeling, Helse Bergen, KS,…) Bjørnstad, Winger Eggen og Tofteng, 2016. Samlet vurdering av satsingene mot sosial dumping og arbeidslivskriminalitet, Rapport nr. 54-2016, Samfunnsøkonomisk analyse AS

    In cooperation with Skatteetaten.

    Supervisor: Malin Arve.

  • Bygg og anlegg

    Bygg og anlegg

    Vi observerer at bygg/anlegg har et fokus i media hvor flere stor utbygginger gis til utenlandske aktører, og hvor det oppstår utfordringer i utførelsen av prosjekter. Sist nå med Follo banen hvor et italiensk selskap gikk konkurs med påfølgende forsinkelser i prosjekt. Analyser/datasammenstillinger innenfor dette tema kunne gitt oss nyttig informasjon i forhold til å se på mulige skatterelaterte risikoer knyttet til slike prosjekt. I tillegg kunne en analyse av lønnsomhet mellom norske og utenlandske selskap i forhold til prosjektutførelse i Norge være av stor interesse.

    Mulig problemstilling: Kan vi se noen forskjeller i marginer/resultater mellom norske og utenlandske aktører i bygg og anleggs-bransjen? Kan det være slik at utenlandske aktører som bruker filialer for sitt oppdrag i Norge, foretar feilaktig allokering til fast driftssted og/eller bruker priser ved konserninterne transaksjoner som ikke er armlengdes, og gjennom dette oppnår dårligere skattemessige resultat i Norge enn hva norske selskap oppnår for tilsvarende oppdrag. I første omgang er det ønskelig å få analysert om det faktisk kan påvises en forskjell i resultatene som rapporteres for filialer av utenlandske foretak og norske foretak i bransjen. Dersom slik forskjell kan påvises, blir oppfølgingsspørsmålet om vi kan finne årsaken(e) til dette.

    Data: Regnskapsdata

    Starting Point: BUS444 (eller annet økonometrikurs) Willmore, 1986. The comparative performance of foreign and domestic firms in Brazil, World Development Bellak, 2004. How domestic and foreign firms differ and why does it matter?, Journal of Economic Surevys

    In cooperation with Skatteetaten.

    Supervisor: Malin Arve.

  • Sentralisering vs. desentralisering av innkjøp

    Sentralisering vs. desentralisering av innkjøp

    Difi ved Statens innkjøpssenter har inngått fem nasjonale rammeavtaler som den offentlige sektoren i Norge kan benytte. Difi snakker om store besparelser og estimerer besparelsen til å være cirka 230 millioner kroner i året. Samtidig advarer Konkurransetilsynet og Lars Sørgård for at sentraliserte innkjøp kan slå feil og at det er fare for svekket konkurranse.

    Hva er fordeler og ulemper ved sentralisering av innkjøp (i staten men også i bedrifter og organisasjoner)? I lys av teori og forskning på området, hvor store besparelser kan vi egentlig snakket om i Statens innkjøpssenter?

    Data: Innkjøpsavtaler inngått gjennom Statens innkjøpssenter, intervju av innkjøpere (både sentralt i Difi og ute i offentlige institusjoner i Norge)

    Starting Point:

    Fra media:

    Staten sparer stort på felles innkjøp – hittil om lag 230 mill.

    Stordriftsfordeler som blir ulemper

    Hvordan vet Difi hva din virksomhet vil spare på felles innkjøpsavtaler?

    Analyser og forskning:

    Centralised and decentralized public procurement, OECD

    When Should Procurement Be Centralized? Dimitri, Dini and Piga, in Handbook of Procurement (available in Malin’s office)

    Flexible  Strategies  for  Centralized  Public Procurement, by Albano and Sparro (2010), Review of Economics and Institutions

    Assessing the efficiency of centrliazed public procurement in the Brazilian ICT sector

    Supervisor: Malin Arve.

  • Quantify and explain the black/white gaps in reports, arrests and earnings in US crime

    Quantify and explain the black/white gaps in reports, arrests and earnings in US crime

    Recent focus on police brutality with respect to the black racial minority in the US has highlighted an anecdotal gap between races in crime. In its most common form, police officers feel that they are more likely to capture criminals if they stop and frisk black citizens. This leads to blacks and Hispanics experiencing on average more contacts with the police than whites. On the other hand, the majority of crimes (70%) are committed by whites.

    When we look at arrest probabilities, we observe that reported black perpetrators have a lower likelihood of arrest than reported white perpetrators. There is a need to draw the overall picture of white-black criminality and how discrimination and racial profiling influences these outcomes. A novel feature of this analysis can be the discussion of criminal earnings, together with a detailed analysis on how reporting, earnings and arrest are inter-related.

    Data: National Incident Based Reporting System, US

    Starting point: Knowles, J., Persico, N. and Todd, P., 2001. Racial bias in motor vehicle searches: Theory and evidence. Journal of Political Economy, 109(1), pp.203-229.
    Fryer Jr, R.G., 2016. An empirical analysis of racial differences in police use of force (No. w22399). National Bureau of Economic Research

    Supervisor: Evelina Gavrilova-Zoutman.

  • The Errors of Witnesses: Impacts of faulty witness reports on crime statistics

    The Errors of Witnesses: Impacts of faulty witness reports on crime statistics

    It is well known that witness accounts on crime are often unreliable. The effects of stress or poor light on the victim can create a skewed perception of how the perpetrator looked. This, coupled with an unconscious discriminatory bias, leads to the victim reporting that the perpetrator was unknown or from the black racial minority. Often the witness report is based on an estimate – e.g. “ the perp looked black, around 25 years”.

    Comparing actual arrests to reports, we can try to put a number on the amount of witness error. This can impact the computation of statistics on black/white, male/female and young/old crime gaps. What if blacks are actually responsible for a very small fraction of crimes? What if females are responsible for more crimes? This could lead us to rethink current racial profiling strategies in crime detection.

    Data: National Incident Based Reporting System, US

    Starting point: Imbens, G.W. and Lemieux, T., 2008. Regression discontinuity designs: A guide to practice. Journal of econometrics, 142(2), pp.615-635.
    Fryer Jr, R.G., 2016. An empirical analysis of racial differences in police use of force (No. w22399). National Bureau of Economic Research

    Supervisor: Evelina Gavrilova-Zoutman.

  • Using autonomous vehicles to improve our emergency services

    Using autonomous vehicles to improve our emergency services

    The aim of emergency medical services (EMS) is to provide timely assistance to emergencies in order to save lives. Within this service, quality and capacity have sometimes deteriorated because staffing is not satisfactory and because the organization and directives are not clear. My interest is to work on the use of autonomous vessels to help ameliorate the burden that EMS staffing represents in the case of boat ambulances, and to improve the logistics planning of the system.

    The aim is to analyze the use of autonomous vessels to improve response times and coverage. For example, by combining autonomous vessels with geographic information systems, one may use real time information of potential patients to improve the deployment of the resources. In particular my interest is to explore the following key research topic: designing algorithms with predictive capabilities that can be included in real time systems and capable of managing a continuous feed of data points coming from users’ cell phones and other sources.

    Supervisor: Julio C. Goez.

  • Flexible Transport Scheduling with Autonomous Vessels & Autonomous Buses

    Flexible Transport Scheduling with Autonomous Vessels & Autonomous Buses

    Analyze how autonomous transport can increase the inhabitants use of public transport and move transport from road to see or from road to train. How should the routing be conducted so that people are willing to replace road transport with train/sea transport on the main distance? Discuss parameters, constraints and objectives for the routing model. For example: Autonomous busses picks up passengers in the Voss region transport them to Voss railway station where they can take the train to Bergen railway station.

    Supervisors: Mario Guajardo and Sigrid Lise Nonås.

  • Using the Physical Internet Analogy to Design Modern Logistic Networks

    Using the Physical Internet Analogy to Design Modern Logistic Networks

    I am interested in working on exploring new designs for logistics systems. A big problem with our current transport and logistic methods is that they are unsustainable from an economic, environmental, and societal perspective. Inefficiencies can be found thought all the processes, from empty trucks dead-heading to pick up their next loads, to underutilized distribution centers.

    Recently an new paradigm has been propose called the physical internet, which is define in the literature as “an open global logistics system founded on physical, digital and operational interconnectivity through encapsulation, interfaces and protocols”. This aims to fix several of the inefficiencies of the logistics systems introducing ways to move goods using standardized, modular containers. This vision is attracting significant investments especially in the European Union." 

    Supervisor: Julio C. Goez.

  • Optimization and Simulation Models to Improve Efficiency in a Norwegian Refinery

    Optimization and Simulation Models to Improve Efficiency in a Norwegian Refinery

    Develop optimization and/or simulation models to improve the efficiency and increase the production rate in a Norwegian refinery (Elkem Bremanger).

    Supervisor: Sigrid Lise Nonås.

  • Waste Management

    Waste Management

    New waste pipelines are built below the surface in the city center. How can BIR improve the efficiency and increase the utilization of the pipelines?

    Topic 1

    Use optimization, simulation and tools from supply chain management to improve the waste management in BIR.

    Topic 2

    BIR can only collect data from garbage handling for the owner of a house or an apartment. Many of the houses in the city center are divided in several apartment that are rented to students or other inhabitants. How BIR can increase individuals (renters) incentives to sort garbage when BIR only can collect aggregate data from all the apartment in the house? If BIR could track the for each household, which impact would that have on the individual willingness to sort their garbage?

    Supervisor: Sigrid Lise Nonås.

  • Supply Chain Analysis of a Multi-Channel Clothing Company

    Supply Chain Analysis of a Multi-Channel Clothing Company

    Analyze the supply chain configuration for a multi-channel clothing supply chain. Discuss if the current configuration is a good fit for the markets the company serve. Take into account all the dimensions of supply chain performance (facilities, inventory, transportation, data handling and data analysis, sourcing, pricing).

    Based on the result from the analysis, identify in which areas the company have the largest challenges and suggest how they can improve supply chain performance. To narrow the scope of the thesis you could for instance analyze if inventory management and revenue management are in line with the supply chain strategy and the current supply chain configuration (facilities, inventory, transportation, data handling and data analysis, sourcing, pricing) for a company selling children clothes in Norway.

    Supervisor: Sigrid Lise Nonås.

  • The Operational and Economic Impact of Autonomous Ship Application, Comparing to the Traditional Manned Vessels. Wartsila, Fjellstrand, NYK

    The Operational and Economic Impact of Autonomous Ship Application, Comparing to the Traditional Manned Vessels. Wartsila, Fjellstrand, NYK

    Supervisor: Yewen Gu.

  • Shipping

    Shipping

    • Empirical models of vessel valuation
    • What determines tripcharter rates? (fixture analysis)
    • Can you hedge vessel values with FFAs?
    • Can you hedge shipping company values with FFAs? (or speculative pair trading)
    • Trading rules for optimal operation/trading
    • Spot or TC?
    • Relocating tonnage between regions
    • Switching between segments
    • Can you beat the market in FFA trading? (size spreads, outright long/short)
    • Is the newbuilding market integrated across geography and segments?

    Supervisor: Roar Os Ådland.

  • Offshore/Rig

    Offshore/Rig

    • How does vessel/owner specifications influence idleness? (are the best vessels picked first – “big data”)
    • What influences spot rates? (fixture analysis)
    • Is the rig market perfectly competitive or is there scope for differentiation?
    • What are the microeconomic determinants of rig rates?

    Supervisor: Roar Os Ådland.

  • Repositioning of Empty Vessels in the Dry Bulk Shipping Market

    Repositioning of Empty Vessels in the Dry Bulk Shipping Market

    Aim: find key drivers for decision-making process of repositioning empty vessels - current market conditions, sentiment - repeating patterns, etc.

    Supervisor: Vít Procházka.

  • Emission Abatement Technology for a Shipping Company - is the Uncertainty of Fuel Prices Important?

    Emission Abatement Technology for a Shipping Company - is the Uncertainty of Fuel Prices Important?

    Is the uncertainty of fuel prices important to be considered when a shipping company selects its emission abatement technology for the compliance of ECA regulation.

    Supervisor: Yewen Gu.

  • Operations Research Applications in Tine

    Operations Research Applications in Tine

    Dairy farmers with combined milk and beef production face complex decisions regarding optimum milk yield, slaughter age for bulls, calving age for heifers, disposal of farm land etc. The aim for this topic is to explore how operations research may help farmers improve their decision making process to increase their profitability. In this project the students will interact with TINE, Norway's largest producer, distributor and exporter of dairy products with 11,400 members (owners) and 9,000 cooperative farms.

    Supervisors: Mario Guajardo and Julio C. Goez .

  • Shock formation and chaotic behavior in coupled systems

    Shock formation and chaotic behavior in coupled systems

    The purpose of the project is to explain how shocks are formed in systems of coupled equations, and to see how information In such systems quickly disappears over time. This is relevant to understand shocks in the world economy, and to explain why long term predictions of such systems often serve no purpose.

    Supervisor: Jan Ubøe.

  • Nonlinear econometrics

    Nonlinear econometrics

    A large portion of empirical research within economics and finance is based on linear models, of which the linear regression is by far the most prominent. Is this because we live in a linear world, or at least an approximately linear world, or is it the case that we implicitly close our eyes to important features i our data by not considering nonlinear methods on equal footing as traditional ones?

    Questions like this may take your master project in several directions, such as (listed from least to most statistical/mathematical maturity recommended to complete the project, all of them benefit from programming skills):

    1. To what degree is linear regression the main vehicle for measuring marginal effects of explanatory variables X to a response variable Y within economic research (within a certain field/ in Norway/ at NHH or otherwise suitably limited)? Why do researchers choose this method (convenience/interpretability of coefficients/easy presentation/theoretical foundations/...)?  Then, figure out to which degree such concerns can be addressed by a corresponding nonlinear model. A nice touch would be to re-do a recent linear study nonlinearly and see if there indeed are effects that were missed.

    2. A bit more technical version of the point above is to write a thesis that revolves around the systematical development of a tool in your programming language of choice (such as R or Python) that implements as many needs as possible of the linearly oriented researcher in a nonlinear framework, with pre-work consisting of providing a theoretical foundation, and as post-work perhaps testing your «product» by trying to «sell it» to an experienced researcher.

    3. Financial time series are typically nonlinear in the sense that the correlation coefficient does not, in general, give good descriptions of dependencies across time and space. This has naturally lead to the development of nonlinear methods to model financial processes. For example, the classical theory for portfolio allocation that Harry Markowitz introduced in the 1950s balances expected return (as measured by means) and risk (as measured by standard deviations and correlations) in order to provide the optimal distribution of wealth across different assets.

    The Markowitz portfolio theory is very simple and easy to implement. But, it explicitly assumes that dependence between assets is linear, so the decades following its introduction have seen many attempts to improve the Markowitz method by modelling dependencies nonlinearly. Many authors note, however, that it is actually quite hard to attain higher returns using modern methods compared to the classical approach. This project may contain a survey of modern portfolio selection methods (which will require the ability to read fairly technical research papers), and a discussion part where we try to answer the question whether beating the classical approach indeed is «hard», and if so, why?

    Supervisor: Håkon Otneim.