trend macrolytics, llc...nc az ny tx ga il tx ga fl il in wi il ma in ca ny az il tn mo sc nc pa nc...

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Copyright 2020 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no warranty is made as to accuracy. Trend Macrolytics, LLC Donald Luskin, Chief Investment Officer Thomas Demas, Managing Director Michael Warren, Energy Strategist Data Insights: Covid-2019 Monitor Thursday, October 8, 2020 The global scorecard India + 78,524 India + 971 US + 48,182 US + 892 Brazil + 31,553 Brazil + 734 France + 18,746 Argentina + 399 Argentina + 16,447 Mexico + 369 UK + 14,162 Iran + 239 Russia + 11,115 Russia + 202 Spain + 10,491 Colombia + 163 Colombia + 7,875 South_Africa + 145 Czechia + 5,338 Indonesia + 98 + 242,433 + 4,212 World + 331,910 World + 5,679 Top ten 73% Top ten 74% World 30.6 median population age New cases New Deaths The worst ten countries 47.660 bp of population infected As of Oct 8 New confirmed cases by continent 1.377 bp of population fatalities Source: ECDC, TrendMacro calculations For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

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  • Copyright 2020 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not

    authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying

    or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no

    warranty is made as to accuracy.

    Trend Macrolytics, LLC

    Donald Luskin, Chief Investment Officer

    Thomas Demas, Managing Director

    Michael Warren, Energy Strategist

    Data Insights: Covid-2019 Monitor Thursday, October 8, 2020

    The global scorecard

    India + 78,524 India + 971

    US + 48,182 US + 892

    Brazil + 31,553 Brazil + 734

    France + 18,746 Argentina + 399

    Argentina + 16,447 Mexico + 369

    UK + 14,162 Iran + 239

    Russia + 11,115 Russia + 202

    Spain + 10,491 Colombia + 163

    Colombia + 7,875 South_Africa + 145

    Czechia + 5,338 Indonesia + 98

    + 242,433 + 4,212

    World + 331,910 World + 5,679

    Top ten 73% Top ten 74%

    World

    30.6 median population age

    New cases New Deaths

    The worst ten countries

    47.660 bp of population infected

    As of Oct 8

    New confirmed cases

    by continent

    1.377 bp of population fatalities

    Source: ECDC, TrendMacro calculations

    For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesmailto:[email protected]:[email protected]

  • 2

    The US scorecard National and state-by-state data do not line up because of different sources

    New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital

    TX TN CA NY TX

    FL OH TX CA CA

    GA IN FL NJ FL

    NC AZ NY TX GA

    IL TX GA FL IL

    IN WI IL MA IN

    CA NY AZ IL TN

    MO SC NC PA NC

    ND NJ NJ GA VA

    TN NV TN MI WI

    All states All states All states All states All states

    Top ten Top ten Top ten Top ten Top ten

    Fewer daily cases Fewer new deaths Fewer new hospitalizations Most recoveries

    United States

    + 71

    + 69

    + 62

    + 46

    + 44 205,375 7,161

    4,279,238 130,173

    38.1 median population age

    230.309 bp of population infected

    57% 64%

    7,460,634 202,675

    49%

    + 635

    59%

    31,346

    55%

    The ten worst US states

    + 845

    + 1,247

    68%

    3,394

    3,175

    2,151

    1,779

    1,673

    1,138

    1,115

    1,013

    926

    853

    17,217

    221,258 8,244

    209,342 7,229

    773,435 16,177

    CT -702 GU -3 TX -50

    AL

    828,461 25,536

    720,125 16,147

    307,750 9,538

    221,934 9,085

    466,908 16,111

    324,650 14,945

    Top ten

    GA -101

    TN -8

    NC -754 PR -8

    Five most improved US states

    KS -1,597 AR -22 MN -367

    CA -1,378 MA

    OH

    All states

    + 19,024

    + 38,696

    IL

    NC

    NY

    OK + 1,364

    + 1,335

    + 4,132

    + 2,251

    + 2,075

    + 1,676

    TX

    FL

    WI

    CA

    TN

    + 140

    + 120

    + 119

    + 98

    + 1,617

    + 1,504

    + 1,393

    + 30

    + 28

    + 26

    + 76

    + 1,677

    + 37

    + 33

    + 31

    + 78

    + 59

    -12

    -813 KS

    + 26

    + 24

    + 372

    6.453 bp of population fatalities

    + 9

    AR + 5

    UT + 4

    AK + 0

    AS + 0

    AL -61

    IL -68

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    Source: States and test data Covid Tracking Project, US data ECDC, TrendMacro calculations

    https://covidtracking.com/https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 3

    Recommended reading

    Backlash Grows in Orthodox Jewish Areas Over Virus

    Crackdown by Cuomo Liam Stack

    New York Times October 7, 2020

    The Ballot Deadline Guessing Game Wall Street Journal October 7, 2020

    Will the economic and psychological costs of covid-19

    increase suicides? The Economist

    October 5, 2020

    Amazon Thoroughly Wrecks Narrative About

    Lockdowns Being Necessary David Simon

    RealClear Markets October 6, 2020

    Eli Lilly says its monoclonal antibody cocktail is

    effective in treating Covid-19 Matthew Herper

    Stat News October 7, 2020

    CNN Reporter Criticized for Taking off Mask

    Criticizes Trump for Taking off Mask Matt Palumbo

    Dan Bongino Show October 6, 2020

    Who targeted the president? Sally Zelikovsky

    American Thinker October 6, 2020

    We’ve Destroyed the Arts Neal Pollack

    Book and Film Globe

    October 6, 2020

    Meme of day

    g

    Source: Our beloved clients, and Power Line blog "The Week in Pictures"

    https://www.nytimes.com/2020/10/07/nyregion/orthodox-jews-nyc-coronavirus.htmlhttps://www.nytimes.com/2020/10/07/nyregion/orthodox-jews-nyc-coronavirus.htmlhttps://www.wsj.com/articles/the-ballot-deadline-guessing-game-11602112765https://www.economist.com/international/2020/10/05/will-the-economic-and-psychological-costs-of-covid-19-increase-suicideshttps://www.economist.com/international/2020/10/05/will-the-economic-and-psychological-costs-of-covid-19-increase-suicideshttps://www.realclearmarkets.com/articles/2020/10/06/amazon_thoroughly_wrecks_narrative_about_lockdowns_being_necessary_579797.htmlhttps://www.realclearmarkets.com/articles/2020/10/06/amazon_thoroughly_wrecks_narrative_about_lockdowns_being_necessary_579797.htmlhttps://www.statnews.com/2020/10/07/eli-lilly-monoclonal-antibody-cocktail-covid-19/https://www.statnews.com/2020/10/07/eli-lilly-monoclonal-antibody-cocktail-covid-19/https://bongino.com/cnn-reporter-criticized-for-taking-off-mask-criticizes-trump-for-taking-off-maskhttps://bongino.com/cnn-reporter-criticized-for-taking-off-mask-criticizes-trump-for-taking-off-maskhttps://www.americanthinker.com/blog/2020/10/who_targeted_the_president.htmlhttps://bookandfilmglobe.com/creators/weve-destroyed-the-arts/https://www.powerlineblog.com/archives/category/the-week-in-pictures

  • 4

    The coronavirus case accelerometer… tracking the world’s infection curves

    Share of infected population from first day with 100 confirmed cases, log scale

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 5

    The coronavirus mortality accelerometer … tracking the world’s fatality curves

    Share of deceased population from day of first fatality

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 6

    Our most reliable evidence of slowing exponential growth of Covid-2019 Vertical: days to double deaths Horizontal: days from first death Flat indicates exponential spread Declining indicates supra-exponential spread Rising indicates sub-exponential spread

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 7

    Requirement to Open Up America Again: 14-day “downward trajectory” in new cases 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 8

    Alt requirement to Open Up America Again: 14-day “downward trajectory” in pos tests 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst

    Source: Covid Tracking Project, TrendMacro calculations

    https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/

  • 9

    Reality-checking the models: actuals versus IHME predictions

    Source: ECDC, IHME, TrendMacro calculations

    https://covid19.healthdata.org/united-states-of-americahttps://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-caseshttps://covid19.healthdata.org/united-states-of-america

  • 10

    From Ground Zero to the Rio Grande

    New York

    US ex-New York

    Texas268.16 bp of population infected

    33.9 median population age

    As of Oct 8

    38.1 median population age

    240.71 bp of population infected

    38.2 median population age

    231.22 bp of population infected

    13.13 bp of population fatalities

    6.05 bp of population fatalities

    5.56 bp of population fatalities

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 11

    The sun-belt hot-spot states (other than Texas)

    California

    Florida

    Arizona

    As of Oct 8

    305.74 bp of population infected

    38.0 median population age

    42.2 median population age

    210.37 bp of population infected

    36.7 median population age

    336.49 bp of population infected

    4.09 bp of population fatalities

    6.96 bp of population fatalities

    7.85 bp of population fatalities

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 12

    Patient zero… and then everyone else

    China

    World ex-China

    As of Oct 8

    28.8 median population age

    0.65 bp of population infected

    37.4 median population age

    58.24 bp of population infected

    1.68 bp of population mortalities

    0.02 bp of population mortalities

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 13

    Impact in the largest economies

    Japan

    Germany

    France

    As of Oct 8

    41.2 median population age

    97.52 bp of population infected

    45.9 median population age

    47.3 median population age

    7.04 bp of population infected

    37.36 bp of population infected

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    ses

    an

    d d

    ea

    ths

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    ea

    ths

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 14

    Impact in The Anglosphere

    United Kingdom

    Canada

    Australia9.83 bp of population infected

    37.9 median population age

    As of Oct 8

    81.66 bp of population infected

    40.5 median population age

    45.69 bp of population infected

    40.8 median population age

    6.37 bp of population fatalities

    2.51 bp of population fatalities

    0.32 bp of population fatalities

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 15

    Impact in continental Europe

    Italy

    Spain

    Switzerland

    As of Oct 8

    42.2 median population age

    66.13 bp of population infected

    44.9 median population age

    45.5 median population age

    55.33 bp of population infected

    178.09 bp of population infected

    Da

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    ths

    Da

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    ses

    an

    d d

    ea

    ths

    Da

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    ca

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    d d

    ea

    ths

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 16

    Impact in other hot-spots

    South Korea

    Singapore

    Sweden

    40.9 median population age

    95.51 bp of population infected

    5.82 bp of population fatalities

    As of Oct 8

    41.8 median population age

    4.71 bp of population infected

    101.41 bp of population infected

    34.6 median population age

    0.08 bp of population fatalities

    0.01 bp of population fatalities

    Da

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    Da

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    an

    d d

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    ca

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    an

    d d

    ea

    ths

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 17

    Impact in the BRICs ex-China

    India

    Russia

    Brazil

    33.5 median population age

    238.70 bp of population infected

    7.04 bp of population fatalities

    As of Oct 8

    39.6 median population age

    26.8 median population age

    50.99 bp of population infected

    8.64 bp of population infected

    0.77 bp of population fatalities

    0.15 bp of population fatalities

    Da

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    d d

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    Da

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    an

    d d

    ea

    ths

    Da

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    ca

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    an

    d d

    ea

    ths

    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • 18

    Impact in the Middle East and Africa

    Israel

    Iran

    Africa (52 nations)11.15 bp of population infected

    19.7 median population age

    0.27 bp of population fatalities

    As of Oct 8

    30.3 median population age

    30.2 median population age

    316.84 bp of population infected

    55.28 bp of population infected

    2.02 bp of population fatalities

    3.13 bp of population fatalities

    Da

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    Da

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    an

    d d

    ea

    ths

    Da

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    Source: ECDC, TrendMacro calculations

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases