{"id":145635,"date":"2018-07-25T03:20:28","date_gmt":"2018-07-24T17:20:28","guid":{"rendered":"https:\/\/www.gomarketingteam.com\/auarticles\/risk-environments-growth\/"},"modified":"2021-03-09T14:41:58","modified_gmt":"2021-03-09T03:41:58","slug":"risk-environments-growth","status":"publish","type":"post","link":"https:\/\/www.gomarkets.com\/en\/articles\/shares-and-indices\/risk-environments-growth\/","title":{"rendered":"Monitoring Volatility and Spotting Trading Opportunities"},"content":{"rendered":"

US Markets<\/h4>\n

With relatively sound fundamentals driven by strong earnings growth so far in this earning season, US equity markets have continued their bullish trend. The S&P500 bounced back strong from its 100-day moving average in early July, and by going over the 2800 level, it seems to be on track to reach its all-time high of 2870,\u00a0 possibly even winning new grounds.<\/p>\n

Chart 1 : US S&P 500<\/strong><\/p>\n

\"\"<\/p>\n

Whilst it is hard to make a case against the trend above, we also want to be ready for when markets descend into a (possibly overdue) correction phase. UBS has recently released a note suggesting we are going to see some serious pain should the tariff war between U.S and China intensify. They also argue that the current rate of tariffs has minimal impact on the markets, but if the U.S takes it to the next level by putting a 10% tariff on US$200 billion worth of imports from China, then the S&P500 would most likely be hit by a 10% decline. They also predict that the S&P500 could drop by an additional 10 percent (a total of 20%) if the current situation between U.S and China escalates into a full-blown trade war.<\/p>\n

On a macroeconomic level, we note that the difference between short term and long term interest rates is narrowing down rapidly. This phenomenon, also known as yield-flattening, is usually seen as a signal that long-term growth is potentially not as strong as short-term growth. When yield-flattening turns into yield-inversion (where short-term rates are higher than long-term rates) and is combined with increasing cost of borrowing for companies, higher inflation, and rising unemployment, it can be a serious sign of an upcoming recession. Inflation expectations have somewhat stalled over the past few months, but as shown in the chart below they are on a clear strong upward trend.<\/p>\n

Chart 2: U.S five year break even (inflation expectation)<\/strong><\/p>\n

\"\"<\/p>\n

US unemployment seems to be stable, but corporate borrowing costs are moving higher. Therefore, while traders enjoy the current calm they should also be on the watch for signs of risk. This article primarily allows readers to understand better risk monitoring; by undertaking a historical analysis, we show some instruments\u2019 sensitivity to volatility.<\/p>\n

Monitoring Risk:<\/h4>\n

A common way to monitor market risk is to monitor volatility. In simple terms, you can think of volatility as the range of candlesticks in your candlestick chart. In the more volatile periods, the candlestick ranges are larger, and in the less volatile periods, the candlestick ranges are smaller; as volatility is the magnitude of price swings whether upwards or downwards.<\/p>\n

Reading candlestick charts or price swings to determine the state of volatility is seen as backward looking. That means you would be only limited to past information to make an inference about the future state of the markets \u2014 This can be problematic for traders. The Volatility Index measures the implied volatility as opposed to historical (or so called realized volatility). It is a forward-looking measure and roughly estimates how much volatility traders are incorporating into their pricing models.<\/p>\n

One of the reasons volatilities are so important to watch is that high volatilities will usually cause stock markets to fall rapidly. With stocks falling fast, investors will switch to a risk-off mode, which in turn has a follow-on impact on all other markets including currencies, commodities, etc.<\/p>\n

To better see how the VIX affects other markets, we have selected 5 scenarios in Chart 3 where volatility has significantly jumped up over the past ten years.<\/p>\n

Chart 3: VIX over the past 10 years<\/strong><\/p>\n

\"\"<\/p>\n

Table 1 shows the duration of each period and subsequent fall in the S&P500. The last column in this table measures how fast the market has fallen over the volatility period. During the GFC, the market fell on average 0.15% per day for almost 367 trading days.<\/p>\n

Table1: Volatile Periods and their impact on S&P500<\/strong><\/p>\n

(measured close to close)<\/strong><\/p>\n\n\n\n\n\n\n\n\n
<\/td>\nPeriod Start<\/strong><\/td>\nPeriod end<\/strong><\/td>\nNo of Days<\/strong><\/td>\nChange in S&P<\/strong><\/td>\nAverage %Drop per business day<\/strong><\/td>\n<\/tr>\n
Scenario 1<\/strong><\/td>\n11\/10\/2007<\/td>\n6\/03\/2009<\/td>\n367.00<\/td>\n-56%<\/td>\n-0.15%<\/td>\n<\/tr>\n
Scenario 2<\/strong><\/td>\n26\/04\/2010<\/td>\n1\/07\/2010<\/td>\n49.00<\/td>\n-15%<\/td>\n-0.31%<\/td>\n<\/tr>\n
Scenario 3<\/strong><\/td>\n7\/07\/2011<\/td>\n4\/10\/2011<\/td>\n64.00<\/td>\n-17%<\/td>\n-0.26%<\/td>\n<\/tr>\n
Scenario 4<\/strong><\/td>\n19\/08\/2015<\/td>\n11\/02\/2016<\/td>\n127.00<\/td>\n-12%<\/td>\n-0.09%<\/td>\n<\/tr>\n
Scenario 5<\/strong><\/td>\n26\/01\/2018<\/td>\n9\/02\/2018<\/td>\n11.00<\/td>\n-9%<\/td>\n-0.80%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Source: Bloomberg<\/p>\n

Let\u2019s explore how asset classes have performed during these scenarios.<\/p>\n

Equity Indices: Watch the Nikkei<\/h4>\n

We may have heard that correlations go to 1 during crises. This means that if a major risk event were to hit one corner of the world markets, others would be affected too. The table below shows that each time the S&P has sneezed (or gotten sick during the GFC) the rest of the world followed suit.<\/p>\n

Table 2: Performance of major indices during crises<\/strong><\/p>\n

(measured close to close)<\/strong><\/p>\n\n\n\n\n\n\n\n\n
<\/td>\nS&P 500<\/strong><\/td>\nDAX 30<\/strong><\/td>\nFTSE 100<\/strong><\/td>\nASX 200<\/strong><\/td>\nNikkei 225<\/strong><\/td>\n<\/tr>\n
Scenario 1<\/strong><\/td>\n-56%<\/td>\n-54%<\/td>\n-47%<\/td>\n-50%<\/td>\n-59%<\/td>\n<\/tr>\n
Scenario 2<\/strong><\/td>\n-15%<\/td>\n-7%<\/td>\n-16%<\/td>\n-13%<\/td>\n-18%<\/td>\n<\/tr>\n
Scenario 3<\/strong><\/td>\n-17%<\/td>\n-30%<\/td>\n-18%<\/td>\n-15%<\/td>\n-16%<\/td>\n<\/tr>\n
Scenario 4<\/strong><\/td>\n-12%<\/td>\n-18%<\/td>\n-14%<\/td>\n-8%<\/td>\n-22%<\/td>\n<\/tr>\n
Scenario 5<\/strong><\/td>\n-9%<\/td>\n-9%<\/td>\n-7%<\/td>\n-3%<\/td>\n-10%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Source: Bloomberg<\/p>\n

With the exception of Scenario 3, the Nikkei 225 has almost always dropped more than the U.S market. This means that traders would have received a bigger bang for their buck should they chose to short Japan 225 in risk-off environments. Interestingly, ASX 200 has been a better performer than S&P 500 in times of crises.<\/p>\n

Precious Metals: Gold and Platinum<\/h4>\n

We previously wrote about how Gold historically turns into a safe haven asset during crisis periods, as depicted in the table below. Unlike Gold, platinum does not hold up during these times, and in fact seems to have been instead highly correlated with stocks \u2014 an interesting fact for pair-traders.<\/p>\n

Table 3: Performance of Precious metals during crises<\/strong><\/p>\n

(measured close to close)<\/strong><\/p>\n\n\n\n\n\n\n\n\n
<\/td>\nGold<\/strong><\/td>\nSilver<\/strong><\/td>\nPlatinum<\/strong><\/td>\n<\/tr>\n
Scenario 1<\/strong><\/td>\n26%<\/td>\n-3%<\/td>\n-24%<\/td>\n<\/tr>\n
Scenario 2<\/strong><\/td>\n4%<\/td>\n-3%<\/td>\n-14%<\/td>\n<\/tr>\n
Scenario 3<\/strong><\/td>\n6%<\/td>\n-17%<\/td>\n-15%<\/td>\n<\/tr>\n
Scenario 4<\/strong><\/td>\n10%<\/td>\n3%<\/td>\n-5%<\/td>\n<\/tr>\n
Scenario 5<\/strong><\/td>\n-2%<\/td>\n-6%<\/td>\n-5%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong>Source: Bloomberg<\/p>\n

Energy: A case for short-sellers?<\/h4>\n

During crises all energies can drop quite significantly. Specifically, let\u2019s look at WTI, Brent, and Natural Gas. On average Oil tends to drop a bit more than Nat Gas, but the gap is not wide enough to make Oil a prime shorting candidate.<\/p>\n

Table 4: Performance of energies during crises<\/strong><\/p>\n

(measured close to close)<\/strong><\/p>\n\n\n\n\n\n\n\n\n
<\/td>\nOil (Crude)<\/strong><\/td>\nOil Brent<\/strong><\/td>\nNatural Gas<\/strong><\/td>\n<\/tr>\n
Scenario 1<\/strong><\/td>\n-45%<\/td>\n-44%<\/td>\n-43%<\/td>\n<\/tr>\n
Scenario 2<\/strong><\/td>\n-13%<\/td>\n-17%<\/td>\n14%<\/td>\n<\/tr>\n
Scenario 3<\/strong><\/td>\n-23%<\/td>\n-16%<\/td>\n-12%<\/td>\n<\/tr>\n
Scenario 4<\/strong><\/td>\n-36%<\/td>\n-36%<\/td>\n-27%<\/td>\n<\/tr>\n
Scenario 5<\/strong><\/td>\n-10%<\/td>\n-11%<\/td>\n-26%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Source: Bloomberg<\/p>\n

Currencies: Commodity currencies once more<\/h4>\n

We have previously written about how USD, CHF and JPY become safe haven currencies during crises. Seeing the US Dollar Index and JPY going higher was not a surprise for us, but it is quite interesting to see the magnitude of AUDJPY\u2019s drop, as it underperformed all other currencies in this analysis. The last row of Table 4 shows the average drop per currency. The AUDJPY \u2018s average decline is almost twice (or even more) that of others.<\/p>\n

Table 4: Performance of currencies during crises<\/strong><\/p>\n

(measured close to close)<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nUSD index<\/strong><\/td>\nEURUSD<\/strong><\/td>\nAUDUSD<\/strong><\/td>\nJPYUSD<\/strong><\/td>\nGBPUSD<\/strong><\/td>\nCHFUSD<\/strong><\/td>\nAUDJPY<\/strong><\/td>\nAUDEUR<\/strong><\/td>\nCADUSD<\/strong><\/td>\n<\/tr>\n
Scenario 1<\/strong><\/td>\n13%<\/td>\n-11%<\/td>\n-29%<\/td>\n19%<\/td>\n-31%<\/td>\n2%<\/td>\n-40%<\/td>\n-20%<\/td>\n-24%<\/td>\n<\/tr>\n
Scenario 2<\/strong><\/td>\n4%<\/td>\n-6%<\/td>\n-9%<\/td>\n7%<\/td>\n-2%<\/td>\n1%<\/td>\n-15%<\/td>\n-3%<\/td>\n-6%<\/td>\n<\/tr>\n
Scenario 3<\/strong><\/td>\n6%<\/td>\n-7%<\/td>\n-11%<\/td>\n6%<\/td>\n-3%<\/td>\n-8%<\/td>\n-16%<\/td>\n-4%<\/td>\n-9%<\/td>\n<\/tr>\n
Scenario 4<\/strong><\/td>\n-1%<\/td>\n2%<\/td>\n-3%<\/td>\n10%<\/td>\n-8%<\/td>\n-1%<\/td>\n-12%<\/td>\n-5%<\/td>\n-6%<\/td>\n<\/tr>\n
Scenario 5<\/strong><\/td>\n2%<\/td>\n-1%<\/td>\n-4%<\/td>\n0%<\/td>\n-2%<\/td>\n-1%<\/td>\n-3%<\/td>\n-2%<\/td>\n-2%<\/td>\n<\/tr>\n
Average (including GFC)<\/strong><\/td>\n5%<\/strong><\/td>\n-5%<\/strong><\/td>\n-11%<\/strong><\/td>\n8%<\/strong><\/td>\n-9%<\/strong><\/td>\n-1%<\/strong><\/td>\n-17%<\/strong><\/td>\n-7%<\/strong><\/td>\n-9%<\/strong><\/td>\n<\/tr>\n
Average (not including GFC)<\/strong><\/td>\n3%<\/strong><\/td>\n-4%<\/strong><\/td>\n-8%<\/strong><\/td>\n6%<\/strong><\/td>\n-5%<\/strong><\/td>\n-2%<\/strong><\/td>\n-13%<\/strong><\/td>\n-4%<\/strong><\/td>\n-6%<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Source: Bloomberg<\/p>\n

Given current markets conditions in the US, Europe, Asia and emerging economies, the smart trader would want to keep his finger on the pulse for any signs of changes in volatility.<\/p>\n

Wixad Pty Ltd<\/strong><\/p>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

US Markets With relatively sound fundamentals driven by strong earnings growth so far in this earning season, US equity markets have continued their bullish trend. 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