Pre- and Post-Brexit Observations  of Fat-Tail vs. Normal VaR Spreads Across the MSCI World Index™

Posted by Ivan Mitov, Head of Quantitative Research, BISAM on Jul 21, 2016 2:30:00 AM
Find me on:

 

As we've previously shown, one approach for assessing levels of market turbulence is to look at the difference in the tail (possibility for extreme events) as measured by the Normal VaR (or ETL) vs. the Cognity Fat-tailed VaR (or ETL). In the case of “normal” markets (i.e. no excess probability of extreme events), the two approaches would coincide. Widening of that spread, however, indicates increasing market turbulence, and associated with that, increasing probability of extreme events.

As you’ll see from our below observations of the Normal vs. Fat-tailed VaR spreads across the MSCI World IndexTM there were no surprises as to which markets saw the most turbulence in the weeks just before and after the EU referendum vote. However, it is clear from observing the Fat-Tail vs. Normal VaR spreads, that the Fat-Tail VaR indicated a more accurate measure of risk in those markets than what the Normal VaR was indicating. So risk managers who continue to observe the spread (vs. looking only at normal VaR) can stay on top of future signs of turbulence as the Brexit “unknowns” continue to unfold.

Section 1: Europe

MSCI United Kingdom GBP 

Figure_1-_MSCI_UK.png

As expected the turbulence of the MSCI UK index sharply increased during the weeks leading up to the Brexit referendum, and continued to rise a week after that. The turbulence levels were at their highest since since 2009.

 MSCI Spain EUR 

Figure_2-_MSCI_Spain.png

Figure 2: MSCI Spain – The Spain stocks also show a very high increase in the turbulence indicator during the pre- and post- Brexit weeks. The turbulence levels were evenhigher than those observed during the Greek debt crisis in  mid 2010.

 MSCI Italy EUR 

Figure_3-_MSCI_Italy.png

Figure 3: MSCI Italy – Similar to Spain, the Italian stock market turbulence also increased sharply during the period of June 20th – July 1st, 2016.

 MSCI Portugal EUR

Figure_4-_MSCI_Portugal.png

Figure 4: MSCI Portugal – Compared to Italy and Spain the Portuguese index does not indicate a high increase in turbulence.

 MSCI Germany EUR

Figure_5-_MSCI_Germany.png

Figure 5: MSCI Germany – The same holds for the German stock market. Its turbulence indicator is relatively low and shows a decrease in turbulence since the beginning of 2016.

 MSCI France EUR

Figure_6-_MSCI_France.png

Figure 6: MSCI France – Compared to Germany, the French market seemed to react more to the Brexit news, although its spread level is comparably lower compared to the beginning of 2016.

 MSCI Finalnd EUR

Figure_7-_MSCI_Findland.png

Figure 7: MSCI Finland – A sharp increase in turbulence in the Finnish stock market was observed due to Brexit. The same could be observed for the other two Scandinavian markets below: MSCI Sweden and MSCI Norway, although not so pronounced as what we see here in Finland.

 MSCI Sweden SEK

Figure_8-_MSCI_Sweden.png

Figure 8: MSCI Sweden

 MSCI Norway NOK Values

Figure_9-_MSCI_Norway.png

Figure 9: MSCI Norway

Section 2: North America

MSCI USA USD

Figure_10-_MSCI_USA.png

Figure 10: MSCI USA – the US market shows no observable signs of Brexit-related turbulence – at least for the short term.  

 MSCI Canada CAD

Figure_11-_MSCI_Canada.png

Figure 11: MSCI Canada – The Canadian stock market also shows few signs of turbulence related to Brexit, particularly when compared to the turbulence observed during the Oil price drops in 2015 and 2016.

Section 3: Asia Pacific

Very few of the Asia Pacific markets show significant signs of Brexit impact to date. Below is just a sampling of Asia markets, including China, Japan and Korea.

MSCI China CNY

Figure_12-_MSCI_China.png

MSCI Japan JPY

Figure_13-_MSCI_Japan.png

MSCI Korea KRW

Figure_14-_MSCI_Korea.png


Request_a_Cognity_Demo.jpgProperly reflecting market turbulence is essential. As indicated in the MSCI World Index snapshots above, the BISAM Cognity® real world risk methodology recognizes and adjusts to all market regimes – calm “normal” conditions, up markets, bubbles, corrections and transitions. Cognity’s adaptive modeling framework ensures reliable market-representative risk estimates, no matter the market conditions.

Request a Cognity demo today



 

Topics: Daily Risk Statistics, Risk Management

Leave a Comment

If you have any comments or have any questions about the subjects raised in this post, please fill in your details and message below. We'd like to hear from you.