Quant Value fund

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VALUE Investing| What’s that?
Value investing is traditionally defined as the practice of
buying stocks that appear underpriced/undervalued and
holding them until the market realizes their true value
In standard academic literature, a value portfolio is typically
defined as one with low price-earnings ratio, low market value
to book value ratio, low price to cash flow ratio, or some other
similar price-denominated metric (Fama and French [1992,
1998], Chan and Lakonishok [2004])
Investors often overreact to short-term trends. Humanity’s
highly evolved ability to recognise patterns coupled with
information overload, potentially leads participants to believe
that they know exactly what will come next based on the recent
past. Further, participants often make up stories to post hoc
“explain” recent events, making them even more over-
confident about their extrapolations into the future. Recent
events colour perceptions and inevitably stories are constructed
around these perceptions. To use Nassim Taleb’s phrase,
participants are, in fact, “fooled by randomness”
What is Value?
According to Aswath Damodaran,
the value of a firm is a function of investments that
the firm has already made (assets in place) and
expected future investments (growth opportunities)
VALUE
Source: Siegel & Alexander (2000); Damodaran (2012); Lazard Asset Management LLC. (2016)

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Value investing originated in the 1920s at a time when investors were
guided mostly by speculation and insider information. Its introduction
represented the first rational basis for investment decisions
Much before Value Investing was popularised by the American duo of
Graham and Dodd, one of the first practitioners of this style of
Investing was Roger W. Babson, an American entrepreneur and
theorist. He used a valuation method to determine what he termed
“normal” value by applying a suitable multiplier to average earnings.
His investing philosophy, captured well in his book Enduring
Investments (1921), was fundamental based, close to today’s typical
notion of value investing
VALUE Investing| Origin
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Source: Kwag & Lee (2006); Otuteye & Siddiquee (2015)

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VALUE Investing| Types of Value Investing
Contrarian Investing
investing in companies that
are against the general
market trends
Cerebral Value Investing
incorporating other criteria
such as management
quality, solid moats,
competitive advantages and
other qualitative factors and
ratios
Passive/Mechanical Value Investing
built around screening for stocks
that meet specific numerical
criteria– two prominent ratios used
are price to earnings (PE) and price
to book value (PBV)
Activist Value Investing
this form involves taking large
positions in inefficiently
managed, thus, poorly valued
companies and making money
from turning them around
Source: Damodaran (2012); Cornell & Damodaran (2021)

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It is perception and common knowledge that participants use to draw conclusions and not rationality
At quant Global Research (qGR), the research wing of quant Mutual Fund, our focus is to draw inference from 'Market Implied' data as opposed to
an assumptions based analysis. quant's Behavioral Indicators (including our Perception Indicator) for global economies are lingering at decade-
high levels. This not only underpins euphoria in the market but also brings forth extraordinary complacency in global equities. If we look at these
indicators individually, euphoria is more vivid for growth stocks as compared to value stocks
qGR’s Perception Analytics for Growth Stocks has peaked out while those for Value Stocks have bottomed out
The 'Perception Indicator' for Nasdaq & other global technology indices, the flag bearers of growth stocks for the past decade, have seen euphoric
moves in the last one year; these technology stocks seem to be on the final leg of expansion in their valuation multiples. qGR believes that with
the nearing end of an up move in technology stocks, the perception surrounding the story of Growth stocks is peaking out. The peaking
characteristic of our 'Perception Indicator' indicates the probability of a trend reversal in the perceived valuation of stocks. Hence, a very
important indicator in qGR's Predictive Analytics Framework
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quant VALUE Fund | Emphasis on Perception Analytics
Multiple indicators are endorsing the fact
that from a medium-to-long-term perspective,
value stocks which have so far traded in the
neglected territory will be the market outperformers in
absolute as well as relative terms
Source: quant Money Managers Ltd (2021)

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quant VALUE Fund| What makes Value Tick Now?
Source: Bloomberg, quant global research
Value/Growth ratio is currently trading at multi-decade lows. We expect the ratio to head up towards the next resistance line (dotted) above
before any further up move. This outperformance will signify the investors preference for Value stocks

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“You are neither right nor wrong because the crowd disagrees with you. You are right because your data and reasoning are right”
— Benjamin Graham (2006)
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VALUE Investing| Doing it the quant Way
Source: quant Money Managers Ltd (2019); Lazard Asset Management LLC. (2016)
In line with our philosophy of looking beyond the
obvious – Value investing for us is not the same as its
traditional approach—a predefined program—that
selects securities on the basis of a statistical measure
indicating which ones are less expensive
Calculations of intrinsic value are usually more intricate
and require more detailed knowledge of company and
industry economics; these cannot be deciphered by
simple financial ratios
Using Multi-dimensional research and Predictive
Analytics, quant Global Research (qGR), the research
wing of quant Mutual Fund endeavors to distinguish
temporary cycles from permanent shifts and if the
change is secular, to accurately estimate its impact. This
is not a simple task. Worse, guidance from the past is
limited for genuinely novel structural changes

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quant VALUE Fund | Looking beyond the Obvious
Given the widespread information overload we are all experiencing, it is important
to go beyond the narrative of popular data points such as headline ratios and look
beyond the veneer
At any given point in time, there are thousands, if not millions, of data points about an
individual stock, sector, or the market as a whole. Some will be positive while others
negative. What is positive and what is negative is merely a matter of Perception. It is
our biases that dictate how we perceive these data points
qGR prefers to focus on granular, audited data available from publically listed
companies
We track global economic indicators such as global liquidity, global risk appetite,
demand-supply dynamics of commodities, global freight volumes and charges, energy
usage and gross fixed capital formation as lead indicatorys of economic activity.
Volume data for daily consumer items and personal hygiene items along with fuel
consumption are reliable indicators of consumption. Similarly, consumer durable
items and housing data reflect actual discretionary expenditure
All of these help us form a clearer picture of the economy and separate fact from
fiction, eventually leading to accurate, meaningful datasets and more informed
decision making

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quant VALUE Fund | Is there a need for a new approach?
Source: Lev & Srivastava (2019); Lazard Asset Management LLC. (2016)
Headline ratios are a simplistic measurement and the attention they receive is
mostly due to their ready availability and easy external verifiability. However,
caution is needed, singular use of earnings ratios such as the P/E, can be a poor
measure of value. Further, overdependence on statistical techniques can
frequently give rise to the illusion and delusion of intrinsic value and provide
misleading comfort. They are mere preliminary screeners and nothing more
While value investing is premised on identifying stocks whose prices understate
their intrinsic value and those who overstate it, there is no universally accepted
way of implementing the value strategy, leading to multiple value measures
used in practice and academic research
Many asset values on the balance sheet are not updated to reflect their current
values, and earnings—whose cumulative, retained portion is included in book
value—reflect systematic accounting biases (“conservatism”) and value-irrelevant
(one-time) items – this leads to a systemic error in computation of ratios, based
on which decisions are made
A firm investing heavily in intangibles – R&D, IT, brands, or business processes
(e.g., customer recommendation algorithms), may appear to be an overvalued
company, due to its understated denominator of the market-to-book ratio,
whereas in reality its valuation isn’t excessively high when book value is
properly measured. This was not the case when the traditional form of Value
Investing was prominent
“A reliable way to make people believe in falsehoods is frequent repetition, because familiarity is not easily distinguished from truth”
— Daniel Kahneman

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The graphs presented here are a representation of our overreaction bias. In contrast to Baye’s rule, people overreact to unanticipated news
events. In a study, DeBondt & Thaler (1987), two prominent economists, found that loser stocks, defined as the stocks that have gone down the
most in the last year, deliver almost 20% more in returns than winner stocks, defined as stocks that have gone up the most in the last year; this
is consistent across a three and five-year timeframe
At quant, using predictive analytics tools, we are able to quantify stocks that are trading in the neglected territory (out of favour) due to
investors’ overreaction. With time, the perception surrounding such stocks change, thus initiating mean reversion and potential
outperformance due to improved perceptions
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VALUE Investing| Market Participants Overreact!
Cumulative Average Residuals for Winner and Loser Portfolios
of 35 Stocks (1-36 months into the test period) [monthly data NYSE]
Does the stock market Overreact?
Source: DeBondt & Thaler (1985)
Cumulative Average Residuals for Winner and Loser Portfolios
of 35 Stocks (1-60 months into the test period) [monthly data NYSE]

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Managed Volatility creates Alpha
Alpha can be generated through exploiting informational inefficiencies
in the market – prescient identification of businesses and industries that
benefit from fundamental economic shifts (Valuation), behavioural
biases pushing price away from the true value (Liquidity) and
macroeconomic and geopolitical developments that induce market
volatility and opportunity (Risk Appetite)
The focus on stock picking with less importance given to macro and
sentiment-driven market behavior represents an important structural
bias in both retail and institutional market participants. Adaptive alpha
is the reward for understanding and investing based on those ignored
valued components
Markets do not price in what the participants do not seek value in,
unless, there is a sound methodology devised to gain from the
opportunity
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quant VALUE Fund | Path to Generating Alpha

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Volatility, Credit & Leverage
qGR believes that 2018 – 2023 will be
remembered as the Volatility Expansion
Phase (VEP). During this phase,
traditional investment strategies will
underperform; the dynamic way of
money management will enable us to
sail through the tides of volatility to
deliver superior risk-adjusted-returns
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quant Global Research | The Building Blocks
Liquidity Analytics
Liquidity in the 21st century seems to be
part of a never-ending cycle. Studying this
pattern is essential to understand the
flow of money
Earth Analytics
A relatively new area of research for us, zooming out
to study the climate cycle reveals several socio-
economic trends of great significance especially during
transition phases between cycles
Leveraged Economy & Real Economy –
What’s the Link?
In contrast to the conventional beliefs, it’s the
leveraged economy that drives the real
economy. Thus, studying this relationship
helps us look beyond the obvious
On the look out
for the next new thing!
The paradigms mentioned here form a
non-exhaustive list. In order to remain
Relevant, quant Global Research is always
working to incorporate new ideas and
paradigms into its investment philosophy
The Physics of Time
quant‘s core Investment Principle is - Timing is
Everything. In this digitized age, with an explosion
of data & information, multi-variate models
designed by humans but run by machines is the
only way to gain Predictive Analytics power, thus,
to stay relevant
₹

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Intrinsic value is not what trades are made on, but without real value, no price is justifiable
Valuation Analytics is the cornerstone of the entire investment process
We strongly believe that without a sound economic model along with strong governance and management capability, no entity can survive for
long and hence, no potential reward justifies the risk being taken
There is an important difference in how we analyse businesses and the macro environment. We believe conventional analytical methodologies,
which have existed for decades now, have several limitations
Thus, at qGR, we augment conventional analytical methodologies with various alternate tools: for instance, growth in electricity usage provides
a check on the economic picture painted by the GDP number. Similarly, a deep analysis of management and directors can help weed out
companies, which could become liable for regulatory or legal action
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VALUATION Analytics| The Anchor of our Investment Ship

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Intrinsic VALUE | A Novel Approach – Anchoring Each Investment Decision
Source: quant Money Managers Ltd (2019) The depiction shown here is for representation purposes only. Actual process may vary.

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Dynamic Money management– our role as dynamic money managers is to smooth out returns when value factors are underperforming. This is
how our approach can offer better investment outcomes over both the long and medium term than conventional “smart beta” portfolios
An investment process based on maximising the odds of being right in the long run, but which makes no claims to be able to predict the immediate
future, thus, requires an elongated investment horizon
The key is to not get distracted by the popular narrative being propagated as the gospel truth in the markets. Using Predictive Analytics tools,
our endeavor is to decipher the true stature of the market. This enables us to determine an appropriate perceived valuation multiple of a liquid
& traded class/ sector/ stock
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quant VALUE Fund | How does it work?
BUY
When the stock is at an
inflection point –
inching away from the
Most Neglected and are
in the early phases of
the Admired territory
SELL
When a stock has
touched its inflection
point and started
drifting away from the
Most Admired
Category

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VLRT | Dynamic Money Management
Being Relevant with ‘predictive analytics’
The core engine that drives us and sets us apart is a robust and
differentiated investment framework that enables us to see beyond the
horizon and stay relevant. Our unique analytical framework for enabling
‘predictive analytics’ encompasses all available asset classes and sectors,
formulating a multi-dimensional research perspective
Why multi-dimensional?
The markets are a complex, dynamic system. There is no one formula or
strategy or perspective that can consistently outperform
A diverse set of variables and participants are continuously interacting
with each other in myriad ways
In the face of this uncertainty and complexity, instead of limiting ourselves
to any one school of thought we have found consistent success by studying
markets along four dimensions: Valuation, Liquidity, Risk Appetite, and
Time [VLRT]

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quant VALUE Fund | Fund Attributes
Capital Appreciation over the medium and long-term
This scheme intends to invest in equity & equity related
instruments with an endeavor to deliver superior risk-adjusted
returns with No Exit Load
100% Hedging
The scheme may take exposure to derivative instruments unto
100% of net assets for hedging purposes. In volatile scenarios, this
allows the scheme with greater flexibility to sail through the tides
Up to 35% Overseas Investment
The scheme allows investments in Developed Markets where
large volumes of historical data points for building novel
quantitative investment models is widely available
Dynamic Money Management
Using the VLRT Investment Framework and Predictive Analytics,
quant adopts a Dynamic style of Money Management During
hyper-volatility and uncertainty, this allows the scheme to adapt
and move with agility

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Sandeep Tandon | Chief Investment Officer
Sandeep is the founder & chief investment officer of the quant Group and has a vast experience of over 27 years in the capital markets. His
journey in the money management business started in FY 1992-93 with GIC mutual fund (a JV partner with George Soros in India) where he
was a trainee. He later joined IDBI Asset Management (now Principal Asset Management), where he was a founding member and was part of
the core team that initialized the asset management business. He played a key role in devising, conceptualizing and marketing one of India’s
most successful mutual fund schemes: IDBI I-NITS 95. Furthermore, Sandeep worked in pivotal positions at several reputed financial services
firms including ICICI Securities (a JV partner with J P Morgan in India), Kotak Securities (a J V partner with Goldman Sachs in India) and REFCO
(erstwhile global derivatives firm). He has also worked at the Economic Times Research Bureau (a research wing of Bennett, Coleman and
Company Limited).
Sandeep’s credentials as a Global Macro Strategist are well established. He has channeled his vast experiences, interests and novel thinking
into build the predictive analytics framework and the dynamic VLRT investment framework of the quant group. It is these frameworks coupled
with his deep understanding of various asset classes at a global level, including, credit, commodities, equities and now digital currencies that
enable Sandeep in definitive identification of market inflexion points and arrive at conclusive micro and macro calls.
Sandeep has a strong belief in quant Group’s role as a knowledge partner in creating awareness about latest developments in investment
philosophy and ideas, such as behavioral research. It is for this reason that he believes investor education is of utmost importance and the
group, under his leadership, has undertaken many initiatives in this regard. Based on this belief Sandeep authored a book titled ‘Being
Relevant’ which was published in May 2019. This book builds on research covering decades, even centuries of data points, distilled through
quant’s VLRT framework and predictive analytics indicators. The book further outlines the potential trajectory for the world in the coming
decades that can help money managers and investors prepare for volatile times which will upend the conventional analytical methods and
beliefs of the past decades.
Ankit Pande| Fund Manager
Ankit has an experience of over 9 years in Indian equities and over 3 years in software products. He started his career in core banking software
with Infosys' Finacle, nurturing the product with large banking clients in APAC and small and mid-sized banks in India. He then moved in to
equity research, along the way picking up the (U.S. based) CFA charter and a masters in business administration from The Chinese University of
Hong Kong in 2017, being placed on the school's Dean List. He won the Thomson Reuters StarMine Award for best stock picker in the IT sector
in 2014 and is a lifetime member of the Beta Gamma Sigma academic honour society. Over 2015-2019, Ankit ventured into seed stage fund
raising, equity sales & relationship management in APAC. In his spare time, Ankit likes to read books on business cycle theory, macroeconomics
& geopolitics.
quant VALUE Fund | Investment Team
Page 18

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NFO Period
New Fund Offer Opens on: 10th
November 2021
New Fund Offer Closes on: 24th
November 2021
Investment Objective
• Capital appreciation over long term
• Investments in a well-diversified portfolio of value stocks
Benchmark Index NIFTY 500 Value 50 TRI
Investment Category Thematic - Value
Plans Available
quant Value Fund – Growth Option – Direct & Regular
quant Value Fund – Income Distribution cum Capital Withdrawal Option (Payout & Re-investment facility)–
Direct & Regular
Entry Load Nil
Exit Load Nil
Fund Managers Mr. Sandeep Tandon | Mr. Ankit Pande | Mr. Sanjeev Sharma | Mr. Vasav Sahgal
Minimum Application Purchase: Rs.5,000/- plus in multiple of Re.1 thereafter
Amount during
the NFO and onwards
Additional Purchase: Rs. 1,000/- and in multiples of Rs. 1/-
thereafter Repurchase: Rs. 1,000/-
Systematic Investment Plan (SIP) Rs. 1000/- and multiple of Re. 1/-
Switches
Switch-in requests from equity schemes and other schemes will be
accepted up to November 24th
, 2021 till the cut-off time applicable for switches.
Bank Details
Account Name: QUANT VALUE FUND-COLLECTION A/C
Account Number: 57500000794211
IFSC Code: HDFC0000060, Branch: HDFC, Fort, Mumbai 400001
RTGS and Transfer Till the end of business hours on: 24th November 2021
MICR Till the end of business hours on: 24th November 2021 Page 19
quant VALUE Fund | Scheme Details

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quant VALUE Fund | Riskometer & Links
Mutual Fund investments are subject to market risks, read all scheme related documents carefully.
quant Value Fund is an open ended equity scheme following a quant based investment
theme. This product is suitable for investors who are seeking*:
Scheme Riskometer Benchmark Riskometer
• Capital appreciation over long term
• Investments in a well-diversified portfolio of value stocks
*Investors should consult their financial advisors if in doubt about whether the product is suitable for them.
Investors understand that their
principal will be at moderately high risk.
Investors understand that their
principal will be at moderately high risk.
LINKS
NFO Application Form
Click here
quant Mutual Fund Website
Click here
Scheme Information Document
Click here
ALSO AVAILABLE ON

© quant Page 21
quant VALUE Fund | References & Disclaimer
References
Cornell, B. and Damodaran, A. (2021). Value Investing: Requiem, Rebirth or Reincarnation? SSRN Electronic Journal. [online] Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779481
[Accessed 8 Oct. 2021].
Damodaran, A. (2012). Value Investing: Investing for Grown Ups? SSRN Electronic Journal. [online] Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2042657 [Accessed 9 Oct. 2021].
DeBondt, W.F.M. and Thaler, R. (1985). Does the Stock Market Overreact? The Journal of Finance, 40(3), pp.793–805.
Kwag, S.-W. (Austin) and Lee, S.W. (2006). Value Investing and the Business Cycle. Journal of Financial Planning, (January).
Lazard Asset Management LLC. (2016). Beyond Ratios- The Application of Active Value Investing. [online] Perspectives | Beyond Ratios - The Application of Active Value Investing. Sydney, NSW 2000: Lazard
Asset Management Pacific Co. Available at: https://www.lazardassetmanagement.com/docs/product/-sp9-/35694/beyondratios-theapplicationofactivevalue_lazardperspectivespaper_en.pdf [Accessed 8
Oct. 2021].
Lev, B.I. and Srivastava, A. (2019). Explaining the Demise of Value Investing. SSRN Electronic Journal. [online] Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3442539 [Accessed 8 Oct.
2021].
Otuteye, E. and Siddiquee, M. (2015). Overcoming Cognitive Biases: A Heuristic for Making Value Investing Decisions. Journal of Behavioral Finance, 16(2), pp.140–149.
Siegel, L.B. and Alexander, J.G. (2000). The Future of Value Investing. The Journal of Investing, 9(4), pp.33–45.
Disclaimer
All figures and data given in the document are dated unless stated otherwise. In the preparation of the material contained in this document, the AMC has used information that is publicly available,
including information developed in-house. Some of the material used in the document may have been obtained from members/persons other than the AMC and/or its affiliates and which may have been
made available to the AMC and/or to its affiliates. Information gathered and material used in this document is believed to be from reliable sources. The AMC however does not warrant the accuracy,
reasonableness and / or completeness of any information. We have included statements / opinions / recommendations in this document, which contain words, or phrases such as “will”, “expect”,
“should”, “believe” and similar expressions or variations of such expressions, that are “forward looking statements”. Actual results may differ materially from those suggested by the forward looking
statements due to risk or uncertainties associated with our expectations with respect to, but not limited to, exposure to market risks, general economic and political conditions in India and other countries
globally, which have an impact on our services and / or investments, the monetary and interest policies of India, inflation, deflation, unanticipated turbulence in interest rates, foreign exchange rates,
equity prices or other rates or prices etc.
The AMC (including its affiliates), the Mutual Fund, the trust and any of its officers, directors, personnel and employees, shall not liable for any loss, damage of any nature, including but not limited to
direct, indirect, punitive, special, exemplary, consequential, as also any loss of profit in any way arising from the use of this material in any manner. The recipient alone shall be fully responsible/are liable
for any decision taken on this material.
Investors are advised to consult their own legal, tax and financial advisors to determine possible tax, legal and other financial implication or consequence of subscribing to the units of quant Mutual Fund.
quant Money Managers Ltd. has no duty or obligation to update the information contained herein. Past performance may or may not be sustained in the future. This presentation, including the
information contained herein, may not be copied, reproduced, republished, or posted in whole or in part, in any form without the prior written consent of quant Money Managers Ltd.
Mutual Fund investments are subject to market risks, read all scheme related documents carefully.

© quant
quant Money Managers Limited
Corporate Office: 6th Floor, Sea Breeze Building, Appasaheb Marathe Marg, Prabhadevi, Mumbai - 400 025.
Tel: +91 22 6295 5000 | Whatsapp: +91 9920 21 22 23 | E-mail: help.investor@quant.in | help.distributor@quant.in | www.quantmutual.com

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