Silver Point

Thomas J. Monaco

Silver Point is a boutique research firm that focuses on the broader financial services sector, with a particular focus on troubled institutions globally. 

Asia Ex Japan

Equity Bottom-Up

*Better – But Not Good: Bank of Baroda (BOB.IN) [BOB] reported FY 2Q21 results of INR 16.8bn, quite a reversal of fortune from the losses of INR 8.6 bn in FY 1Q21. Several factors drove BOB’s outperformance: a) net interest income improvement of INR 7.5 bn (11.0%) linked quarter driven solely by NIM expansion of 31 bp to 2.86% while the loan book contracted 1.8%; b) fee revenue improvement of INR 2.6 bn (22.2%) on the back of higher loan processing fees as retail loan disbursements increased; and c) most importantly, an INR 26.3 bn (46.7%) reduction in loss provisions as annualized net new NPL creation dropped precipitously to just 2.0%;*Poor Reserve Cover: Excluding the September 2016 Supreme Court standstill on NPL classification, BOB’s NPLs still would have declined INR 19.9 bn (2.9%) and the NPL ratio would have been 9.30% - still improving 10 bp over the previous quarter. Anything over 8% suggest institutions are insolvent. By our calculation, however, BOB’s reserves still remain light by INR 245 bn or nearly ten quarters of pre-tax earnings – this prior to its merger with Vijaya and Dena Banks; and       *Capital Raise A Real Challenge: Merger-related challenges leading to growth slowdown, higher NPLs on portfolio alignment, and continued deterioration in the international business. Equity dilution is BOB’s single largest risk.

*Better – But Not Good: Bank of Baroda (BOB.IN) [BOB] reported FY 2Q21 results of INR 16.8bn, quite a reversal of fortune from the losses of INR 8.6 bn in FY 1Q21. Several factors drove BOB’s outperformance: a) net interest income improvement of INR 7.5 bn (11.0%) linked quarter driven solely by NIM expansion of 31 bp to 2.86% while the loan book contracted 1.8%; b) fee revenue improvement of INR 2.6 bn (22.2%) on the back of higher loan processing fees as retail loan disbursements increased; and c) most importantly, an INR 26.3 bn (46.7%) reduction in loss provisions as annualized net new NPL creation dropped precipitously to just 2.0%;*Poor Reserve Cover: Excluding the September 2016 Supreme Court standstill on NPL classification, BOB’s NPLs still would have declined INR 19.9 bn (2.9%) and the NPL ratio would have been 9.30% - still improving 10 bp over the previous quarter. Anything over 8% suggest institutions are insolvent. By our calculation, however, BOB’s reserves still remain light by INR 245 bn or nearly ten quarters of pre-tax earnings – this prior to its merger with Vijaya and Dena Banks; and       *Capital Raise A Real Challenge: Merger-related challenges leading to growth slowdown, higher NPLs on portfolio alignment, and continued deterioration in the international business. Equity dilution is BOB’s single largest risk.

*Solid Results In FY 2Q21: Kotak Mahindra Bank (KMB.IN) [Kotak] reported a fairly stellar FY 2Q21 earnings result of INR 21.8 bn – exceeding FY 1Q21 results by INR 9.3 bn or 75.5% - a high quality beat of consensus as well; and*Strong Credit Metrics Across The Board: Gross NPLs were flattish linked quarter, while net new NPLs increased just INR 1.1 bn or 7.6% on an annualized basis. Further, despite the loss provisioning decline of INR 5.9 bn (61.7%), loss reserves at KMB increased INR 2.8 bn (7.4%) as NCOs continue to decelerate.

*Solid Results In FY 2Q21: Kotak Mahindra Bank (KMB.IN) [Kotak] reported a fairly stellar FY 2Q21 earnings result of INR 21.8 bn – exceeding FY 1Q21 results by INR 9.3 bn or 75.5% - a high quality beat of consensus as well; and*Strong Credit Metrics Across The Board: Gross NPLs were flattish linked quarter, while net new NPLs increased just INR 1.1 bn or 7.6% on an annualized basis. Further, despite the loss provisioning decline of INR 5.9 bn (61.7%), loss reserves at KMB increased INR 2.8 bn (7.4%) as NCOs continue to decelerate. 

Kotak Mahindra Bank – Surprisingly Strong Performance

*In-Line Results: Bajaj Finance (BAF.IN) [Bajaj] reported FY 2Q21 results of INR 9.6 bn - essentially in-line with FY 1Q21 results. While in line on a linked quarter basis, we do note improvement in the NIM by 70 bp to 9.9% which drove the INR 1.1 bn (3.3%) increase in net interest income;*Credit Risk Increasing: On a linked quarter basis, we found that gross NPAs actually declined INR 5.2 bn (26.9%)  - primarily on account of FY 2Q21 NCOs of INR 20.5 bn which appear to have accelerated again. Credit remains weak with net new NPAs of INR 15.3 or an alarming 434.1% annualized increase. Loss reserves also remain light in the neighbourhood of INR 66.4 bn by our calculation or over five quarter of pre-tax results; and*Lowered Guidance: For AUM, Bajaj expects AUM growth during FY 2021 of just between 6%-7% - well below previous guidance of 10-12%. Several other headwinds over the near-term are also worrisome, including: 1) the elevated payment-bounce rate; and 2) the lack of clarity surrounding the flexi loan book.

*In-Line Results: Bajaj Finance (BAF.IN) [Bajaj] reported FY 2Q21 results of INR 9.6 bn - essentially in-line with FY 1Q21 results. While in line on a linked quarter basis, we do note improvement in the NIM by 70 bp to 9.9% which drove the INR 1.1 bn (3.3%) increase in net interest income;*Credit Risk Increasing: On a linked quarter basis, we found that gross NPAs actually declined INR 5.2 bn (26.9%)  - primarily on account of FY 2Q21 NCOs of INR 20.5 bn which appear to have accelerated again. Credit remains weak with net new NPAs of INR 15.3 or an alarming 434.1% annualized increase. Loss reserves also remain light in the neighbourhood of INR 66.4 bn by our calculation or over five quarter of pre-tax results; and*Lowered Guidance: For AUM, Bajaj expects AUM growth during FY 2021 of just between 6%-7% - well below previous guidance of 10-12%. Several other headwinds over the near-term are also worrisome, including: 1) the elevated payment-bounce rate; and 2) the lack of clarity surrounding the flexi loan book.

Thematic (Sector/Industry)

*HFC Harmonization With NBFCs: The Reserve Bank of India (RBI) had initially published a draft proposal for changes in regulations for Housing Finance Companies (HFC) in June 2020, seeking commentary from stakeholders by July 15, 2020; and*Final Regulatory Changes: After stakeholder review, there is essentially one key change to the draft proposal mandating a higher 60% of total assets be “qualifying housing finance assets” and that a minimum of 50% of total assets be housing loans. The RBI has indicated that other differences between HFC and NBFC regulations will be eliminated over a period of two years.

*HFC Harmonization With NBFCs: The Reserve Bank of India (RBI) had initially published a draft proposal for changes in regulations for Housing Finance Companies (HFC) in June 2020, seeking commentary from stakeholders by July 15, 2020; and*Final Regulatory Changes: After stakeholder review, there is essentially one key change to the draft proposal mandating a higher 60% of total assets be “qualifying housing finance assets” and that a minimum of 50% of total assets be housing loans. The RBI has indicated that other differences between HFC and NBFC regulations will be eliminated over a period of two years.

Reserve Bank of India  - Final HFC Changes

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.

Cross Asset Strategy

<ul>
<li>TMI's text-mined India Lead Indicator has jumped to +1.5x STDEVs, highest reading since 11/2019; our indicator is equally comprised of macro components &amp; domestic corporate drivers</li>
<li>Just as the US and Europe are seeing a surge in COVID-19 cases, India has seen an encouraging -32% decline in the past month from a 7DMA new case count of 93K/day mid-September to the most recent reading of 63K/day; positive impact on mobility is already noticeable</li>
<li>Our RBI sentiment indicator surged to +1.6x STDEV as the central bank stated it will "look through" transitory inflationary supply shocks, pledging a prolonged accommodative policy stance while doubling down on open market operations and announcing new sector-specific TLTROs</li>
<li>While macro sentiment is the key catalyst, we also see an incipient recovery in corporate sentiment evidenced in positive news flow such as the sequential headcount increase at the likes of TCS, Infosys and Wipro</li>
<li>Our India Lead Indicator has been 80% correlated with the iShares MSCI India ETF with a slight lead in the T12M</li>
<li>At this point, our sentiment-based India indicators appear to be ahead of other Asian jurisdictions across most vectors</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>


TMI's text-mined India Lead Indicator has jumped to +1.5x STDEVs, highest reading since 11/2019; our indicator is equally comprised of macro components &amp; domestic corporate drivers
Just as the US and Europe are seeing a surge in COVID-19 cases, India has seen an encouraging -32% decline in the past month from a 7DMA new case count of 93K/day mid-September to the most recent reading of 63K/day; positive impact on mobility is already noticeable
Our RBI sentiment indicator surged to +1.6x STDEV as the central bank stated it will "look through" transitory inflationary supply shocks, pledging a prolonged accommodative policy stance while doubling down on open market operations and announcing new sector-specific TLTROs
While macro sentiment is the key catalyst, we also see an incipient recovery in corporate sentiment evidenced in positive news flow such as the sequential headcount increase at the likes of TCS, Infosys and Wipro
Our India Lead Indicator has been 80% correlated with the iShares MSCI India ETF with a slight lead in the T12M
At this point, our sentiment-based India indicators appear to be ahead of other Asian jurisdictions across most vectors
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 Indicators: India Indicators Rise On COVID-19 Trends, RBI Policy Shift and Corporate Optimism

India

iShares MSCI India Index ETF is an exchange-traded fund registered in Singapore. The Fund seeks to provide investment results that, before expenses, closely correspond to the performance of the MSCI India Index. The Fund invests all or substantially all of its assets in shares comprising the MSCI India Index in substantially the same weightings as constituted in the underlying index.

iShares MSCI India Index ETF (INDIA SP)

Bank of Baroda – Scary On Halloween

BANK OF BARODA: Manufactured Profits Ahead Of Capital Raise. BOB Already Appears Insolvent With 9.3% NPLs and 10 Quarter Reserve Shortfall

Thomas J. Monaco

Kotak Mahindra Bank – Surprisingly Strong Performance

KOTAK MAHINDRA BANK: Surprise, Surprise, Surprise. Both Credit Metrics and Ne Interest Income Improves As Risk Substantially Declines

Thomas J. Monaco

Bajaj Finance – Removing The Lipstick

BAJAJ FINANCE: Results Would Suggest That Credit Portfolio Risk Has Significantly Deteriorated, and That Reserves Need Buttressing By Over Five...

Thomas J. Monaco

Reserve Bank of India - Final HFC Changes

RESERVE BANK OF INDIA - Final Housing Finance and Non-Bank Financial Company Rule Harmonization Regulations Now Set With Stricter Rules.

Thomas J. Monaco

TMI Indicators: India Indicators Rise On COVID-19 Trends, RBI Policy Shift and Corporate Optimism

TMI's text-mined India Lead Indicator recently surged to a new 2020 high on notably improving COVID-19 trends, dramatic policy shift at the RBI,...

Elan Gore