Fixed Income and Currency Strategist

Gautam Jain, PhD, CFA

FX & Rates

In today's note, we look at the EM FX-EUR correlation and recommend funding positions in EM currencies in euro for the time being. The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

In today's note, we look at the EM FX-EUR correlation and recommend funding positions in EM currencies in euro for the time being. The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

We revisit our near-term view for the US dollar and EM currencies in this note. The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

We revisit our near-term view for the US dollar and EM currencies in this note. The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

FX Dashboard: Dollar in the Driver's Seat

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.

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>, 10th 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. Identifying monthly seasonal patterns and why they may break down (significant changes in central bank or government policy, market positioning, macro data surprises and unexpected domestic events) can thus potentially augment investment returns and generate alpha.Unsurprisingly the Covid-19 pandemic – a once-in-a-lifetime “black swan” event – and accompanying measures such as national lockdowns severely disrupted typical monthly seasonal currency patterns in 2020, particularly in March and June (the trough and peak in global risk appetite) but also in Q4, with a few exceptions (see <a href="https://www.smartkarma.com/insights/monthly-currency-seasonality-down-and-out" target="_blank" rel="noopener">Monthly currency seasonality: Down and out?</a>, 4th January 2021). A number of emerging and developed market currencies continued to deviate from their 2010-2019 historical patterns in January 2021. In particular the “normally” strong Brazilian Real and to a lesser extent Colombian Peso and Polish Zloty depreciated. The Swiss Franc, contrary to history and in line with our forecast, also weakened slightly. The South African Rand depreciated 2.1%, five times as much as its 11-year historical average.Conversely the “normally” weak Turkish Lira was the outperformer, with the NEER appreciating nearly 4%. Sterling, the Australian Dollar and Norwegian Krone also outperformed in January relative to their historical seasonal patterns. However, and while early days, about 17 currencies, including the Dollar, Euro, Kiwi Dollar, Mexican Peso and most Asian currencies performed in line with their historical seasonality.Based on 2010-19 data Thai Baht, Norwegian Krone, Hungarian Forint and Polish Zloty were strongest currencies in the month of February while Korean Won was the weakest.

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 theBIS (April 2019) and national central banks (see Nominal Effective Exchange Rates: Monthly seasonal patterns, 10th 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. Identifying monthly seasonal patterns and why they may break down (significant changes in central bank or government policy, market positioning, macro data surprises and unexpected domestic events) can thus potentially augment investment returns and generate alpha.Unsurprisingly the Covid-19 pandemic – a once-in-a-lifetime “black swan” event – and accompanying measures such as national lockdowns severely disrupted typical monthly seasonal currency patterns in 2020, particularly in March and June (the trough and peak in global risk appetite) but also in Q4, with a few exceptions (see Monthly currency seasonality: Down and out?, 4th January 2021). A number of emerging and developed market currencies continued to deviate from their 2010-2019 historical patterns in January 2021. In particular the “normally” strong Brazilian Real and to a lesser extent Colombian Peso and Polish Zloty depreciated. The Swiss Franc, contrary to history and in line with our forecast, also weakened slightly. The South African Rand depreciated 2.1%, five times as much as its 11-year historical average.Conversely the “normally” weak Turkish Lira was the outperformer, with the NEER appreciating nearly 4%. Sterling, the Australian Dollar and Norwegian Krone also outperformed in January relative to their historical seasonal patterns. However, and while early days, about 17 currencies, including the Dollar, Euro, Kiwi Dollar, Mexican Peso and most Asian currencies performed in line with their historical seasonality.Based on 2010-19 data Thai Baht, Norwegian Krone, Hungarian Forint and Polish Zloty were strongest currencies in the month of February while Korean Won was the weakest.

The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

The attached file is a snapshot of the EM currency market, which we produce daily, and where we seek to identify the leaders and laggards among currencies by comparing the performance of each to its history as well as to other currencies based on their respective betas to the broad market. The analysis, therefore, is not a forecasting tool but to be used for identifying dislocations, which we loosely define as price moves that cannot be justified by fundamentals.

Pan-Asia Index Rebalances/ Events/ Delta One, Periscope Analytics

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Event-Driven

Hang Seng China Enterprises Index / Event-Driven

As we have said many time before, the <a href="https://www.smartkarma.com/entities/hang-seng-china-enterprises-index" target="_blank" data-smartkarma-citation="entities:22900:1" rel="noopener">Hang Seng China Enterprises Index (HSCEI INDEX)</a> 2021 and 2022 dividend futures are a structural sell due to changes to the index composition that will lower the fair value of the futures.There were 18 inclusions and 17 deletions from the <a href="https://www.smartkarma.com/entities/hang-seng-china-enterprises-index" target="_blank" data-smartkarma-citation="entities:22900:1" rel="noopener">Hang Seng China Enterprises Index (HSCEI INDEX)</a> in 2020 with a shift from higher dividend yield Financials and Energy stocks to lower dividend yield stocks (or zero dividend yield stocks) from the Consumer Discretionary and Information Technology sectors.We see this trend continuing in 2021 with quite a few changes front-loaded that will affect the fair value of the HSCEI 2021 dividend futures. More changes at the back end along with potential changes to the index methodology could lower the fair value of the HSCEI 2022 dividend futures too.In this Insight, we lay out the possible changes to the index constituents and to the <a href="https://www.smartkarma.com/entities/hang-seng-china-enterprises-index" target="_blank" data-smartkarma-citation="entities:22900:1" rel="noopener">Hang Seng China Enterprises Index (HSCEI INDEX)</a> methodology that will impact the dividend futures.

As we have said many time before, the Hang Seng China Enterprises Index (HSCEI INDEX) 2021 and 2022 dividend futures are a structural sell due to changes to the index composition that will lower the fair value of the futures.There were 18 inclusions and 17 deletions from the Hang Seng China Enterprises Index (HSCEI INDEX) in 2020 with a shift from higher dividend yield Financials and Energy stocks to lower dividend yield stocks (or zero dividend yield stocks) from the Consumer Discretionary and Information Technology sectors.We see this trend continuing in 2021 with quite a few changes front-loaded that will affect the fair value of the HSCEI 2021 dividend futures. More changes at the back end along with potential changes to the index methodology could lower the fair value of the HSCEI 2022 dividend futures too.In this Insight, we lay out the possible changes to the index constituents and to the Hang Seng China Enterprises Index (HSCEI INDEX) methodology that will impact the dividend futures.

HSCEI Dividends - Structural Sell; Bank Dividends the Swing Factor

China

The Chinese renminbi (yuan) is the official currency of The People's Republic of China. 

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FX Dashboard: Fund EM FX in EUR

Attached is our daily FX Dashboard that highlights dislocations in EM currency markets. In today's note, we discuss EM FX-EUR correlation and...

Gautam Jain, PhD, CFA

FX Dashboard: Dollar in the Driver's Seat

Attached is our daily FX Dashboard that highlights dislocations in EM currency markets. In this note, we also revisit our near-term view for the US...

Gautam Jain, PhD, CFA

Currency Seasonality’s Slow Comeback?

Identifying currencies' monthly seasonal patterns and why they may break down can potentially generate alpha. Seasonal patterns broke down in 2020...

Olivier Desbarres

FX Dashboard - Feb 2, 2021

Attached is the daily FX Dashboard that highlights dislocations in EM currency markets with the objective of identifying the leaders and laggards.

Gautam Jain, PhD, CFA

HSCEI Dividends - Structural Sell; Bank Dividends the Swing Factor

We see downside in the HSCEI 2021 and 2022 div futures due to changes in the index composition and potential changes in the index methodology....

Brian Freitas

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