Founder & Chief Market Strategist - SAV Markets, SAV Markets

Shyam Devani

Founder & Chief Market Strategist - SAV Markets

Cross Asset Strategy

The last time we saw a major market panic, before Covid, and subsequent delivery of aggressive economic policies - largely monetary - was in 2009. Remarkably, the stock market performance since March 2020 has been very similar to 2009-2010. What indication does this comparison offer today? The answer is "some short term pain and some long term gain". In addition there are other indications across Oil, Bonds, the USD and in Asia South Korea which further supports this thesis.

The last time we saw a major market panic, before Covid, and subsequent delivery of aggressive economic policies - largely monetary - was in 2009. Remarkably, the stock market performance since March 2020 has been very similar to 2009-2010. What indication does this comparison offer today? The answer is "some short term pain and some long term gain". In addition there are other indications across Oil, Bonds, the USD and in Asia South Korea which further supports this thesis. 

Chart based progressive global trading strategies, Chart Partners

Thomas Schroeder

Chart based progressive global trading strategies

Chart Partners

Chart Partners objective is to discover medium-term cycle turns and profit opportunities before they unfold, within structural trends while preserving capital with clear degrees of risk. We have real return ideas. 

Markets are dynamic and trading systems must reflect this. It is crucial to determine underlying correlations and lead-lag relationships within global markets and the impact on linked instruments. Our weekly Chartonics product gives you short-term trading strategies that can be applied within the medium and longer term macro trends that are mapped out in our strategy updates. 

Our methodology fuses global market variables and isolates drivers in trends. We specialize in FX, index trade in NY and Asia with a focus on Asian stocks. 

Technical Analysis

Our bet was that a USD low near DXY 89 would front run a risk off cycle for equities. Now that a low appears to be in place we are focusing on levels that would induce upside acceleration for the USD and bleed into the risk universe (AUD/JPY short). The pain trade is USD short covering in EM and Asia.Euro top near 1.23 and break below rising wedge support as pinpointed over a week ago.USD/ZAR and USD/TRY are favored long plays in EM. In Asia, we have touted buying USD vs KRW, THB and INR but also see a high conviction USD rally set up versus SGD and then IDR.Macro view is to sell the DXY near 92-94 for new lows but there will be a slew of trading swing points into the summer.

Our bet was that a USD low near DXY 89 would front run a risk off cycle for equities. Now that a low appears to be in place we are focusing on levels that would induce upside acceleration for the USD and bleed into the risk universe (AUD/JPY short). The pain trade is USD short covering in EM and Asia.Euro top near 1.23 and break below rising wedge support as pinpointed over a week ago.USD/ZAR and USD/TRY are favored long plays in EM. In Asia, we have touted buying USD vs KRW, THB and INR but also see a high conviction USD rally set up versus SGD and then IDR.Macro view is to sell the DXY near 92-94 for new lows but there will be a slew of trading swing points into the summer.

USD Acceleration Points that Will Bleed into Equity Risk

We have been buying the USD versus weaker Asian FX (INR, THB and KRW) and now seeing a low in the USD/SGD for a broader USD rally from the DXY 89 region that is touted to front run a January risk event for equities (mid to late Jan).Euro's rising wedge along with USD bull divergence sets up a good USD rally sequence even if it is correction and will take USD bulls by surprise given the crowded USD short positioning. EM FX is vulnerable at this juncture will moves unfolding in  BRL and ZAR with TRY due for a low and strong USD move.

We have been buying the USD versus weaker Asian FX (INR, THB and KRW) and now seeing a low in the USD/SGD for a broader USD rally from the DXY 89 region that is touted to front run a January risk event for equities (mid to late Jan).Euro's rising wedge along with USD bull divergence sets up a good USD rally sequence even if it is correction and will take USD bulls by surprise given the crowded USD short positioning. EM FX is vulnerable at this juncture will moves unfolding in  BRL and ZAR with TRY due for a low and strong USD move.

Founder

Olivier Desbarres

Exacting. Excellent. Exceeding. Exemplary.

4X Global Research

4X Global Research was founded in 2017 to provide institutional and corporate clients with the substantive research, high-quality analysis and thoughtful insight on Emerging and G20 economies and financial markets they need to make informed and timely decisions and gain an edge in their investments.

FX & Rates

This report updates the monthly seasonal patterns of 31 major Nominal Effective Exchange Rates(NEERs) going back to January 2010, using over two million daily data points with trade-weights derived from the<a href="https://www.bis.org/statistics/eer.htm" target="_blank" rel="noopener"> BIS</a> (April 2019) and national central banks (see <a href="https://gallery.mailchimp.com/948838a86ce72ab6d8019a39d/files/15f4d8a9-56a4-46fd-9d78-607e5fd523e6/4X_Global_Research_Nominal_Effective_Exchange_Rates_Monthly_seasonal_patterns.pdf" target="_blank" rel="noopener">Nominal Effective Exchange Rates: Monthly seasonal patterns</a>, 10 January 2019). A number of factors can drive currency seasonality, including underlying seasonal patterns in balance of payment flows, the timing of public holidays and market liquidity. However, significant changes in central bank or government policy, major domestic events (e.g. Brexit) and once-in-a-lifetime “black swan” events such as the Covid-19 pandemic January can break down even well established seasonal currency patterns. In emerging Asia interventionist central banks have in part eroded monthly currency seasonality.Unsurprisingly, typical monthly seasonal currency patterns broke down in 2020, with a few exceptions. In particular, when global risk sentiment collapsed in March and peaked in June only a handful of currencies moved broadly in line with their historical patterns. Historical seasonal patterns somewhat re-established themselves in Q3 (notably August) with domestic factors once again driving asset prices, including currencies. But the resurgence in Covid-19 cases and deaths in Q4 along with the re-imposition of national lockdowns once again contributed to a breakdown in historical seasonal patterns, albeit not as marked as in March or June.The Brazilian Real and Colombian Peso NEERs recorded the strongest average rates of appreciation in the month of January in 2010-2019, while the Turkish Lira and Russian Rouble were the weakest. About 15 NEERs traded broadly in line with their historical patterns in January 2020.However, the Covid-19 pandemic was still in its infancy and its impact on global economies and financial markets still modest. The risk is that many currencies, including the typically strong Swiss Franc, may in January 2021 continue to deviate materially from their 2010-2019 seasonal patterns in our view.

This report updates the monthly seasonal patterns of 31 major Nominal Effective Exchange Rates(NEERs) going back to January 2010, using over two million daily data points with trade-weights derived from the BIS (April 2019) and national central banks (see Nominal Effective Exchange Rates: Monthly seasonal patterns, 10 January 2019). A number of factors can drive currency seasonality, including underlying seasonal patterns in balance of payment flows, the timing of public holidays and market liquidity. However, significant changes in central bank or government policy, major domestic events (e.g. Brexit) and once-in-a-lifetime “black swan” events such as the Covid-19 pandemic January can break down even well established seasonal currency patterns. In emerging Asia interventionist central banks have in part eroded monthly currency seasonality.Unsurprisingly, typical monthly seasonal currency patterns broke down in 2020, with a few exceptions. In particular, when global risk sentiment collapsed in March and peaked in June only a handful of currencies moved broadly in line with their historical patterns. Historical seasonal patterns somewhat re-established themselves in Q3 (notably August) with domestic factors once again driving asset prices, including currencies. But the resurgence in Covid-19 cases and deaths in Q4 along with the re-imposition of national lockdowns once again contributed to a breakdown in historical seasonal patterns, albeit not as marked as in March or June.The Brazilian Real and Colombian Peso NEERs recorded the strongest average rates of appreciation in the month of January in 2010-2019, while the Turkish Lira and Russian Rouble were the weakest. About 15 NEERs traded broadly in line with their historical patterns in January 2020.However, the Covid-19 pandemic was still in its infancy and its impact on global economies and financial markets still modest. The risk is that many currencies, including the typically strong Swiss Franc, may in January 2021 continue to deviate materially from their 2010-2019 seasonal patterns in our view.

Monthly Currency Seasonality: Down and Out?

Managing Director

Elan Gore

TMI Data Science

TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade & traditional media.  Our proprietary software, TMI Machine, is a text-mining platform designed with the buy-side & capital markets professional in mind, text-mining the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income & individual equities.  TMI provides custom leading indicators and systematic trading strategies, operating at the nexus of linguistics & statistics drawing on vast experience in investment banking and hedge fund settings in senior quantitative and fundamental roles.  

TMI Data Science was founded by Elan Gore, an award-winning Senior Global Basic Materials Equity Analyst & China Economist with 15 years of experience in North American hedge funds & institutional managers; and Alessandro Porrino, Ph.D., an Algorithmic Trading Analyst and Programmer with 10 years of front-office experience ranging from complex FX option pricing to auto-hedging strategies at Bank of America Merrill Lynch and Standard Chartered.  Mr. Gore holds an MBA in Finance from New York University Stern School of Business, and Mr. Porrino holds a Ph.D. in Systems Engineering from Brunel University London.

<ul>
<li>While short-term data has been out of favour as the market envisions a post-vaccine supercycle, our text-mining detects greater relative concern on Korean in the financial media over KRW strength and COVID case counts in recent weeks</li>
<li>Japan, for example, saw similar concerns emerge on surging case counts, but news sentiment has been supported by the recent 40tr JPY stimulus package vs. limited Korean measures</li>
<li>KRW/USD's +10% move is equivalent +2x STDEVs, similar to the magnitude of CNY appreciation in the same period, vs. low single-digit moves in JPY and TWD</li>
<li>Consensus suggests foreign inflows associated with a strong KRW are likely to push the KOSPI higher even if exporter earnings (and exports) are hampered by the currency</li>
<li>While we acknowledge the macro impact of COVID resurgence is merely transitory, a key driver in our recent news attribution is the sharp decline in Korean credit card spending as reported by Shinhan for the second half of November</li>
<li>Less transitory is the KRW, and 801 Korean exporters recent polled by the Korea International Trade Association (KITA) suggested the currency is already beyond their pain threshold</li>
</ul><div class="content-highlight">TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income &amp; individual equities. </div>


While short-term data has been out of favour as the market envisions a post-vaccine supercycle, our text-mining detects greater relative concern on Korean in the financial media over KRW strength and COVID case counts in recent weeks
Japan, for example, saw similar concerns emerge on surging case counts, but news sentiment has been supported by the recent 40tr JPY stimulus package vs. limited Korean measures
KRW/USD's +10% move is equivalent +2x STDEVs, similar to the magnitude of CNY appreciation in the same period, vs. low single-digit moves in JPY and TWD
Consensus suggests foreign inflows associated with a strong KRW are likely to push the KOSPI higher even if exporter earnings (and exports) are hampered by the currency
While we acknowledge the macro impact of COVID resurgence is merely transitory, a key driver in our recent news attribution is the sharp decline in Korean credit card spending as reported by Shinhan for the second half of November
Less transitory is the KRW, and 801 Korean exporters recent polled by the Korea International Trade Association (KITA) suggested the currency is already beyond their pain threshold
TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income &amp; individual equities. 

TMI Snapshot:  Text-Mining Detects Potential Pullback in Korea Sentiment on KRW Rally & COVID Surge

South Korea

The South Korean won is the official currency of The Republic of Korea (South Korea). 

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The Pain and the Gain in Equities and FX

New year celebrations are over and there are bumps along the road for Equity and USD trends - beware we are going over one now.

Shyam Devani

USD Acceleration Points that Will Bleed into Equity Risk

Our bet was that a USD low near DXY 89 would front run a risk off cycle for equities. Focus is on upside acceleration levels that would bleed into...

Thomas Schroeder

USD Bull Cycle to Inflect Risk Asia

We have been buying the USD versus weaker Asian FX and now seeing a low in the USD/SGD. DXY 89 low/rally touted to front run a January risk event...

Thomas Schroeder

Monthly Currency Seasonality: Down and Out?

Covid-19 pandemic and national lockdowns in 2020 wreaked havoc with historical monthly seasonal patterns for developed and EM currencies. But what...

Olivier Desbarres

TMI Snapshot: Text-Mining Detects Potential Pullback in Korea Sentiment on KRW Rally & COVID Surge

Our text-mining detects a potential pullback in Korea macro sentiment on rapid KRW appreciation and the COVID surge impacting credit card spending,...

Elan Gore

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