Modelling and forecasting rig rates on the Norwegian Continental Shelf

Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the peri...

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Main Authors: Skjerpen, Terje, Storrøsten, Halvor Briseid, Rosendahl, Knut Einar, Osmundsen, Petter
Format: Report
Language:English
Published: Oslo: Statistics Norway, Research Department 2015
Subjects:
C32
C51
C53
L71
Q47
Online Access:http://hdl.handle.net/10419/192814
id ftzbwkiel:oai:econstor.eu:10419/192814
record_format openpolar
spelling ftzbwkiel:oai:econstor.eu:10419/192814 2024-01-21T10:04:55+01:00 Modelling and forecasting rig rates on the Norwegian Continental Shelf Skjerpen, Terje Storrøsten, Halvor Briseid Rosendahl, Knut Einar Osmundsen, Petter 2015 http://hdl.handle.net/10419/192814 eng eng Oslo: Statistics Norway, Research Department Series: Discussion Papers No. 832 gbv-ppn:847454592 http://hdl.handle.net/10419/192814 RePEc:ssb:dispap:832 http://www.econstor.eu/dspace/Nutzungsbedingungen ddc:330 C32 C51 C53 L71 Q47 Rig rates Capacity utilization Oil price Forecasting Bootstrapping doc-type:workingPaper 2015 ftzbwkiel 2023-12-25T00:45:01Z Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the period 1991q4 to 2013q4. We use reduced form time series models with two equations and report conditional point and bootstrapped interval forecasts for rig rates and capacity utilization. We then consider two alternative simulations to examine how the oil price and remaining petroleum reserves influence rig rate formation of floaters. In the first alternative simulation we assume a relatively high crude oil price equal to 100 USD (2010) per barrel for the entire forecast period, whereas the reference case features the actual oil price with extrapolated values for the last quarters in the forecast period. According to our results, the rig rates will be about 34 percent higher in 2016q4 with the higher oil price. In the second alternative simulation we explore the effects of opening the Barents Sea and areas around Jan Mayen for petroleum activity. This contributes to dampening the fall in the rig rates and capacity utilization over the last part of the forecast period. Report Barents Sea Jan Mayen EconStor (German National Library of Economics, ZBW) Barents Sea Jan Mayen
institution Open Polar
collection EconStor (German National Library of Economics, ZBW)
op_collection_id ftzbwkiel
language English
topic ddc:330
C32
C51
C53
L71
Q47
Rig rates
Capacity utilization
Oil price
Forecasting
Bootstrapping
spellingShingle ddc:330
C32
C51
C53
L71
Q47
Rig rates
Capacity utilization
Oil price
Forecasting
Bootstrapping
Skjerpen, Terje
Storrøsten, Halvor Briseid
Rosendahl, Knut Einar
Osmundsen, Petter
Modelling and forecasting rig rates on the Norwegian Continental Shelf
topic_facet ddc:330
C32
C51
C53
L71
Q47
Rig rates
Capacity utilization
Oil price
Forecasting
Bootstrapping
description Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the period 1991q4 to 2013q4. We use reduced form time series models with two equations and report conditional point and bootstrapped interval forecasts for rig rates and capacity utilization. We then consider two alternative simulations to examine how the oil price and remaining petroleum reserves influence rig rate formation of floaters. In the first alternative simulation we assume a relatively high crude oil price equal to 100 USD (2010) per barrel for the entire forecast period, whereas the reference case features the actual oil price with extrapolated values for the last quarters in the forecast period. According to our results, the rig rates will be about 34 percent higher in 2016q4 with the higher oil price. In the second alternative simulation we explore the effects of opening the Barents Sea and areas around Jan Mayen for petroleum activity. This contributes to dampening the fall in the rig rates and capacity utilization over the last part of the forecast period.
format Report
author Skjerpen, Terje
Storrøsten, Halvor Briseid
Rosendahl, Knut Einar
Osmundsen, Petter
author_facet Skjerpen, Terje
Storrøsten, Halvor Briseid
Rosendahl, Knut Einar
Osmundsen, Petter
author_sort Skjerpen, Terje
title Modelling and forecasting rig rates on the Norwegian Continental Shelf
title_short Modelling and forecasting rig rates on the Norwegian Continental Shelf
title_full Modelling and forecasting rig rates on the Norwegian Continental Shelf
title_fullStr Modelling and forecasting rig rates on the Norwegian Continental Shelf
title_full_unstemmed Modelling and forecasting rig rates on the Norwegian Continental Shelf
title_sort modelling and forecasting rig rates on the norwegian continental shelf
publisher Oslo: Statistics Norway, Research Department
publishDate 2015
url http://hdl.handle.net/10419/192814
geographic Barents Sea
Jan Mayen
geographic_facet Barents Sea
Jan Mayen
genre Barents Sea
Jan Mayen
genre_facet Barents Sea
Jan Mayen
op_relation Series: Discussion Papers
No. 832
gbv-ppn:847454592
http://hdl.handle.net/10419/192814
RePEc:ssb:dispap:832
op_rights http://www.econstor.eu/dspace/Nutzungsbedingungen
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