MacroVar monitors real-time economic, financial and geopolitical developments for the Norway economy and Norway markets by analyzing financial, economic data and real-time news using statistical models. To help you forecast and analyze economic and
financial developments, our team provides you with explanations of the theory and structure of our models and access to financial and economic data.
Norway Overview
Norway Overview presents the current trends and dynamics of the major Norway financial markets and economic indicators. Select Details to get more information for each indicator, use Factors to monitor
current statistical analysis of financial & economic factors affecting the specific asset, and select research to read the latest MacroVar research for the specific asset/indicator.
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
100.0
High
2024-03-21 13:08:31
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-75.0
High
2024-07-11 16:56:41
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
Momentum of a macroeconomic indicator is monitored by calculating its long-term year over year (Y/Y) return and its short-term month on month (M/M), quarter over quarter (Q/Q) returns.Learn More about MacroVar Momentum Macro Trends
Trend
Down
High
2024-07-11 09:32:08
A macroeconomic indicator is in an uptrend when last value is higher than its twelve month moving average and its twelve month moving average slope is positive (last twelve month moving average is higher than the previous month’s twelve month moving average). MacroVar calculates the number of months the current value has recorded highs or lows. Trend change is assumed when a specific indicator has recorded a 3-month high / low or more.MacroVar Momentum Macro Trends
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
100.0
High
2024-03-21 13:08:31
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
100.0
High
2024-07-04 19:10:17
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-75.0
High
2024-07-11 16:56:41
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar CDS and Volatilites are analyzed by calculating the 1-year and 5-year z-scores. Extreme values of absolute z-scores (greater than 2) indicate elevated credit risk conditions and vice-versa.Learn More about MacroVar Risk Management model
Momentum of a macroeconomic indicator is monitored by calculating its long-term year over year (Y/Y) return and its short-term month on month (M/M), quarter over quarter (Q/Q) returns.Learn More about MacroVar Momentum Macro Trends
Trend
Down
High
2024-07-11 09:32:08
A macroeconomic indicator is in an uptrend when last value is higher than its twelve month moving average and its twelve month moving average slope is positive (last twelve month moving average is higher than the previous month’s twelve month moving average). MacroVar calculates the number of months the current value has recorded highs or lows. Trend change is assumed when a specific indicator has recorded a 3-month high / low or more.MacroVar Momentum Macro Trends
Momentum of a macroeconomic indicator is monitored by calculating its long-term year over year (Y/Y) return and its short-term month on month (M/M), quarter over quarter (Q/Q) returns.Learn More about MacroVar Momentum Macro Trends
Trend
Down
High
2024-07-11 09:32:08
A macroeconomic indicator is in an uptrend when last value is higher than its twelve month moving average and its twelve month moving average slope is positive (last twelve month moving average is higher than the previous month’s twelve month moving average). MacroVar calculates the number of months the current value has recorded highs or lows. Trend change is assumed when a specific indicator has recorded a 3-month high / low or more.MacroVar Momentum Macro Trends
Momentum of a macroeconomic indicator is monitored by calculating its long-term year over year (Y/Y) return and its short-term month on month (M/M), quarter over quarter (Q/Q) returns.Learn More about MacroVar Momentum Macro Trends
Trend
Down
Medium
2024-07-11 09:32:08
A macroeconomic indicator is in an uptrend when last value is higher than its twelve month moving average and its twelve month moving average slope is positive (last twelve month moving average is higher than the previous month’s twelve month moving average). MacroVar calculates the number of months the current value has recorded highs or lows. Trend change is assumed when a specific indicator has recorded a 3-month high / low or more.MacroVar Momentum Macro Trends
Momentum of a macroeconomic indicator is monitored by calculating its long-term year over year (Y/Y) return and its short-term month on month (M/M), quarter over quarter (Q/Q) returns.Learn More about MacroVar Momentum Macro Trends
Trend
UP
Medium
2024-07-24 09:47:53
A macroeconomic indicator is in an uptrend when last value is higher than its twelve month moving average and its twelve month moving average slope is positive (last twelve month moving average is higher than the previous month’s twelve month moving average). MacroVar calculates the number of months the current value has recorded highs or lows. Trend change is assumed when a specific indicator has recorded a 3-month high / low or more.MacroVar Momentum Macro Trends
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
100.0
High
2024-03-21 13:08:31
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
-75.0
High
2024-07-11 16:56:41
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar momentum signal ranges from -100 to +100. Momentum trading is used to capture moves in short timeframes. Momentum must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Momentum Signals
Trend
1.0
High
2024-07-22 17:27:53
MacroVar Trend signal ranges from -100 to +100. The market trend signal is derived as the mean value from 8 calculations for each asset. A trend can last for day(s), weeks and even months. Trends must be monitored in conjuction with other MacroVar Macroeconomic and Financial factors. Learn More about MacroVar Trend Signals
Bubble Risk
High
MacroVar bubble risk model monitors a financial asset price relative to its 252-day moving average to identify possible inflection points (Overbought or Oversold conditions). Extreme moves are often followed by price reversals when bubble risk model indicators have values greater than 2.5 or less than -2.5.Learn More about MacroVar Bubble Risk Model
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar factor models use regression analysis to monitor a specific financial market (e.g. S&P 500) compared to macroeconomic (e.g. US ISM Manufacturing PMI) and financial factors (US North America Credit Default Swaps Index) closely correlated with the market in search for possible significant anomalies or divergencies which can confirm signals from MacroVar momentum and trend dynamics models.Learn More about MacroVar Multi-Factor models
MacroVar CDS and Volatilites are analyzed by calculating the 1-year and 5-year z-scores. Extreme values of absolute z-scores (greater than 2) indicate elevated credit risk conditions and vice-versa.Learn More about MacroVar Risk Management model
Norway economic overview presents a snapshot of US current economic conditions. You can find details for the Norway economy subsections by exploring the sections below.
The Norway construction sector is a significant component of the Norway economy. MacroVar monitors leading indicators of construction activity like building permits and new home sales.
Norway Macroeconomic outlook presents an overview of the long-term fundamental coincident factors of the Norway economy. Components monitored are the country's rserves, debt, Monetary Policy and Fiscal Policy.
Explore Norway macroeconomic model in detail.
MacroVar monitors leading indicators (ESI employment activity) and lagging indicators of Norway employment. Norway employment is one of the major factors affecting ECB monetary policy.
Norway Fiscal policy is monitored by tracking the most important indicators related to the Treasury's decisions on government spending, revenues and budget surplus/deficit.
Welcome to MacroVar the financial analytics platform designed to help you identify trading and investment opportunities using data driven models. MacroVar uses statistical multi-factor models to analyze financial markets to generate automated signals for short-term trading and long-term investing. MacroVar models and the data analysed are transparent for anyone to explore.
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