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Emerging Capital Markets AG907 M.Sc. Investment & Finance M.Sc. International Banking & Finance Lecture 4 Valuation in Emerging Capital Markets I g n a c i o R e q u e j o G l a s g o w , 2 0 1 0 / 2 0 1 1 Overview of


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Emerging Capital Markets AG907

M.Sc. Investment & Finance M.Sc. International Banking & Finance Lecture 4 – Valuation in Emerging Capital Markets

I g n a c i o R e q u e j o – G l a s g o w , 2 0 1 0 / 2 0 1 1

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Overview of Lecture

  • 1. Introduction
  • 2. Basic Valuation Approaches
  • 3. Valuation Process
  • 4. Does the Choice of Model Matter?

Empirical Evidence – Valuation in Emerging Markets

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  • 1. Introduction

Characteristics of EMs affect valuation assumptions ⇒ Adjustment in valuation methods Given foreign currencies ⇒ Two different general valuation approaches Valuation of EM investments ⇒ Steps investors should follow

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  • 2. Basic Valuation Approaches

Two discounted cash flow (DCF) valuation approaches for valuation of investments in foreign country ⇒ Example Approach A.

  • Peso flows converted to dollars (forecast of forward

peso/dollar exchange rates)

  • Dollar CFs discounted using dollar weighted-average

cost of capital (WACC)

  • Estimation of dollar WACC must reflect
  • Systematic risk of target industry
  • Local equity market & country risk

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  • 2. Basic Valuation Approaches

Approach B.

  • Local CFs discounted using local WACC ⇒ Local NPV

for investment

  • Local NPV converted into dollar NPV using spot

peso/dollar exchange rate Each approach has Strengths & Weaknesses ⇒ choice

  • Relative confidence in local capital market data
  • Relative

confidence in theoretical equilibrium in international currency & capital markets

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  • 2. Basic Valuation Approaches

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Peso CFs US Dollar CFs Peso NPV US Dollar NPV

Convert CF from Pesos to Dollars

Approach A Approach B

Discount at US Dollar WACC Discount at Peso WACC Convert NPV from Pesos to US Dollars

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  • 2. Basic Valuation Approaches

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Characteristic Approach A Approach B

Key features

  • PPP & IRP hold
  • Inflation forecasts in pesos &

dollars appropriate

  • Country risk premium estimate

appropriate

  • Local capital market has good

data availability & quality

  • Local capital costs are free-market

yields Strengths

  • Theoretical rigour
  • More reliable capital market

information from DMs

  • Simplicity
  • Translation at current spot rates

Weaknesses

  • PPP & IRP do not always hold
  • Long-term forecasting of inflation

difficult

  • Assumes US interest rates

consistent with forward peso/dollar exchange rates

  • Availability & quality of local data
  • Betas not available for many

stocks in EMs

  • Many interest rates administered

by central banks & do not reflect inflation expectations or require real rates of return

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  • 2. Basic Valuation Approaches

Approach A.

  • Future CFs converted from foreign to home currency

before discounting

  • Forward exchange rates beyond 3 years rare! ⇒ Rely
  • n exchange rate forecasts or interest rate parity (IRP)
  • IRP ⇒ No arbitrage in currency markets; fluctuations in

exchange rates depend on ratio of local & foreign inflation rates Approach B.

  • Use of local market data to use a local discount rate
  • Confidence in local data to estimate local NPV!

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  • 3. Valuation Process

Three separate steps

  • 1. Evaluate general investment environment
  • 2. Forecast CFs of investment
  • 3. Estimate cost of capital to discount CFs

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3.1. General Investment Environment

Intangible attributes of particular market that modify risk of investing in it Investors should consider five key attributes

  • Information environment
  • Market integration
  • Political risk
  • Rule
  • f

law, corruption, corporate governance & minority shareholders protection

  • Social issues & culture

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3.1. General Investment Environment

Information environment

  • Valuation of companies ⇒ Availability of accurate &

reliable information

  • Data sources for foreign investors ⇒ Accounting

statements & financial analysts projections

  • Quality of information environment in which company
  • perates
  • Investors must adapt to information available for each

market

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3.1. General Investment Environment

Market integration/segmentation

  • Local

market integration with global markets is important ⇒ Fundamental assumption in valuation: that investors can engage in arbitrage

  • If arbitrage is not possible ⇒ Reference point for

investors is local (rather than global) cost of capital

  • Integration affects discount rate used in EMs

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3.1. General Investment Environment

Political risk

  • Local government intervention ⇒ Effect on asset value
  • Different ways of intervention ⇒ Regulation, punitive

tax policies, restrictions on cash transfers, etc.

  • Outright expropriation of assets of foreign companies
  • vs. lack of protection when breakdown in order occurs
  • Official corruption ⇒ Alternative form of taxation
  • Investor’s perception about political risk ⇒ Estimation
  • f CFs & exchange rate (CPI)

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3.1. General Investment Environment

Rule of law, corruption, corporate governance & minority shareholders protection

  • Valuation depends on protection of minority investors

rights ⇒ Lower share prices if expropriation expected

  • Premiums for control will tend to be higher ⇒ Access

to higher private rents (private benefits of control)

  • More corrupt environment in EMs than DMs

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3.1. General Investment Environment

Social issues & culture

  • Some business cultures endorse certain principles
  • Nepotism
  • Paternalism
  • Discrimination
  • Charitable giving
  • Official corruption
  • Tax evasion
  • Reliance on government assistance

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3.1. General Investment Environment

Adjustment in valuation to account for EMs attributes ⇒ Mutually exclusive to avoid double-counting

  • 1. Adjust CFs downward
  • 2. Adjust discount rate upward

Comparing bond yields ⇒ Bondholders premium

  • Bonds denominated in same currency (US dollars)
  • Similar class of asset (e.g., sovereign bonds of the

respective government, same corporate bond rating)

  • ‘Free market’ yields (not s.t. government intervention)

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3.2. Estimating Cash Flows

Important considerations when estimating CFs in EMs

  • Inflation
  • Foreign currency exchange rates
  • Tax rates
  • Timing of remittance of cash
  • Accounting principles

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3.2. Estimating Cash Flows

Inflation

  • Wide variation in inflation rates across countries ⇒

applying inflation rate of US, OECD countries, world economy!

  • Inflation assumptions for CFs & discount rate
  • Consistent assumptions through valuation process

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3.2. Estimating Cash Flows

Foreign currency exchange rates

  • Significant

variation during investment lifetime ⇒ Forecast exchange rate behaviour

  • For long-term investments ⇒ Use IRP coupled with

inflation expectations (to estimate future exchange rate behaviour if freedom to move capital across borders)

  • No freedom ⇒ Take into account capital controls, other

macroeconomic policies that prevent capital from flowing to most profitable opportunities

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3.2. Estimating Cash Flows

Tax rates

  • Affects both forecasted CFs & discount rate
  • Consistency through valuation process
  • Marginal tax rate appropriate to country where CFs are

generated

  • Consider tax system of investor’s country ⇒ E.g., are

investors exempt from taxation of foreign income?

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3.2. Estimating Cash Flows

Timing of remittance of cash

  • Possibility of no free movement of capital across

borders ⇒ E.g., limits in outbound movement of cash

  • Timing of remittance of cash can affect taxation ⇒

E.g., some countries tax foreign income when it is received (rather than earned)

  • Timing of the return of cash should be explicitly

modelled

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3.2. Estimating Cash Flows

Accounting principles

  • Deriving CFs from financial statements ⇒ Familiarity

with accounting principles in foreign country

  • Five different regional profiles of principles
  • Anglo-American-Dutch
  • Continental European
  • South American
  • Islamic
  • Mixed economy
  • System’s particularities will affect forecasting of CFs

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3.3. Estimating Discount Rate

  • Step related to asset-pricing theory ⇒ WACC: the cost
  • f equity
  • General principle ⇒ estimate cost of equity consistent

with company risk in EM

  • Classic errors
  • Using DM discount rate for EM investments
  • Using

discount rates inappropriate for target company’s business risk

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3.3. Estimating Discount Rate

An overview of models

  • Several asset pricing models

can be applied ⇒ Different assumptions about pricing of securities & differing demands on data quality & computational sophistication

  • Models divided according to two key attributes
  • 1. Quality of information
  • 2. Market segmentation / integration

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3.3. Estimating Discount Rate

Questions about information in three areas

  • Market data ⇒ Do security prices reflect what is known

about companies? Is local market relatively efficient?

  • Company-specific information ⇒ Is financial reporting

transparent & reliable?

  • Availability & quantity of information ⇒ Long enough

time series? Index dominated by one / two securities = adequate proxy for true market portfolio?

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3.3. Estimating Discount Rate

Availability of information: Points to be considered

  • Market liquidity ⇒ Prices observed in liquid market are

more reliable (in illiquid markets over- or under- valuations cannot be arbitraged rapidly)

  • Concentration ratios in market indices ⇒ Market index

dominated by few companies will not necessarily reflect performance of market as a whole

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3.3. Estimating Discount Rate

Availability of information: Points to be considered

  • Government intervention & regulation ⇒ Governments

can prevent capital movements (= lack of liquidity); can intervene as large buyer or seller

  • Market efficiency ⇒ Prices might not reflect relevant

information (EMs do not exhibit weak form efficiency); prices cannot be used to determine expected returns

  • r industry betas

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3.3. Estimating Discount Rate

Market integration/segmentation: As with information, degree

  • f

market segmentation needs different approaches to valuation

  • If local market is integrated, its risk exposure will differ

from segmented market

  • One should consider different asset-pricing models

according to level of integration

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3.3. Estimating Discount Rate

Possible situations when valuing assets in EMs

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Information environment Target country integrated Target country segmented Foreign capital market information easily

  • btained & believed to be reliable (e.g., foreign

capital market relatively competitive & efficient, & financial performance reporting relatively transparent & reliable)

A B

Foreign capital market information not easily

  • btained &/or unreliable (e.g., foreign capital

market relatively less competitive & inefficient, &/or financial performance reporting relatively

  • paque & unreliable)

C D

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3.3. Estimating Discount Rate

  • A. Asset

pricing is globally integrated and quality information may be obtained

  • Large, multinational companies actively traded & listed

for trading in developed country exchanges

  • Companies give financial reports & disclose corporate

news (consistent with DM standards)

  • Assumption that securities of these companies are

priced without segmentation

  • In this quadrant, investor can estimate parameters
  • Companies that operate in EMs on ‘borderline’ to

become DMs (South Korea)

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3.3. Estimating Discount Rate

  • B. Where asset pricing is segmented and quality of

information may be obtained

  • Large companies actively traded in country exchanges

for which segmentation effects of EMs are expected

  • Companies integrated into global product markets,

followed by numerous securities analysts, traded regularly (e.g. large Brazilian oil company Petrobras)

  • Local equity markets not highly efficient, (security

prices reflect what is known!)

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3.3. Estimating Discount Rate

  • C. Where asset pricing is globally integrated but foreign

capital market information is questionable or difficult to

  • btain
  • Assumption

that target is globally integrated but investor cannot obtain reliable data

  • Models in this quadrant estimate required returns

based on benchmarks from outside EM & company

  • Should we assume existence of globally integrated

market without reliable market data?

  • Exceptional cases!

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3.3. Estimating Discount Rate

  • D. Where asset pricing is segmented and information is

questionable or difficult to obtain

  • All new enterprises, joint ventures, project financings &

foreign direct investments in segmented markets

  • Companies in EMs far from being classified as DMs

fall into this category

  • Data problems are severe

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3.3. Estimating Discount Rate

Main conclusions when choosing asset-pricing model

  • One size does not fit all ⇒ Analysing alternative

models & circumstances in which they are useful

  • Five general types of models can be used in EMs
  • CAPM
  • International CAPM
  • CAPM adjusted for political risk & segmentation
  • Multifactor models
  • Country credit model

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3.3. Estimating Discount Rate

Main conclusions when choosing asset-pricing model

  • The choice depends on:
  • Investor’s perception of quality of information
  • Segmentation between EM & investor local market
  • For EMs integrated with global markets & quality of

information ⇒ CAPM, ICAPM, multifactor models

  • For EMs not integrated with home market ⇒ CAPM

adjusted for political risk & segmentation

  • For EMs with no quality information ⇒ Credit model

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  • 4. Does the Choice of Model Matter?
  • Choice of model in DMs is less significant
  • Evidence for five EMs (BRA, SA, THAI, MAL, POL)
  • Models ⇒ CAPM, CAPM adjusted for political risk &

segmentation, ICAPM, multifactor method

  • In some cases, similar costs of capital, but in general

differences in estimates (from 300 to 1,000 bps)

  • Reasons

⇒ Alternative beta estimates, inflation, political risk & equity market returns

  • Bottom line ⇒ Cost of equity differences are large

among EMs & among models

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‘Valuation in Emerging Markets: A Simulation Approach’

García-Sánchez, J., Preve, L. & Sarria-Allende, V. Journal of Applied Corporate Finance 22 (2010) 100–108

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Starting Point

  • Problems to use standard valuation techniques in EMs

⇒ Differences: transparency, liquidity, governance, transaction costs, volatility

  • Important difference ⇒ Probability of crisis events

(e.g., during the 1990s in Russia, Southeast Asia, Latin America)

  • Previous approaches ⇒ Adjust discount rate
  • Inability to use local data to obtain direct estimate
  • f discount rate
  • Lack of empirical support for integration

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Starting Point

  • DCF technique ⇒ Discount unconditional expected

CFs at discount rate that reflects symmetric risk not hedged with globally diversified portfolio

  • Truly unconditional ⇒ Consider potential countrywide

crises & costs of financial distress

  • Substantial
  • verestimation
  • f

value from using conditional expected CFs

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Estimation of the Cost of Capital

  • Cost of equity using CAPM ⇒ Ke = Rf + β x MRP
  • Rf = risk-free rate
  • β = systematic risk
  • MRP = market risk premium
  • To estimate parameters ⇒ Local market (EM) or global

market (GM) information

  • EMs information available & reliable?
  • Level of market integration?
  • Intermediate solution ⇒ Use of GM data & adjustment

for typical sources of risk in EMs

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Suggested Adjustments to CAPM

  • CAPM ⇒ Non-diversifiable (market) risk
  • Other sources of risk in EMs? ⇒ Country risk: e.g.,

expropriation by local government, unstable rule of law, lack of transparency

  • Measure of CR ⇒ Sovereign bond spread
  • Add measure of country risk (CR) to global CAPM

formulation ⇒ Ke = Rf + βind_us x MRP + CR

  • Rf = US risk-free rate
  • β = Beta for comparable firm/industry in US
  • MRP = US market risk premium
  • CR = Country risk (spread of sovereign bonds)

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Suggested Adjustments to CAPM

  • What are implicit assumptions? ⇒ DCF techniques

imply unconditional expected CFs & corresponding risk

  • E.g., CAPM & perpetual CFs
  • In EM context ⇒ Impact of economy-wide crisis?

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MRP R ExpectedCF Value

f

× + = β CR MRP R ents NoCrisisEv ExpectedCF Value

f

+ × + = β |

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Suggested Adjustments to CAPM

  • Adjustment violates CAPM theoretical framework
  • Discount conditional expected CFs & add CR to

discount rate (to account for probability of EM crisis)

  • Another problem ⇒ Assumption of same impact for all

businesses (level of connectedness to foreign markets, exposure to commodity prices, degree of regulation)

  • Firm operating only in domestic economy
  • Firm directed towards international markets

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The Country Risk Adjustment

Main differences between investments in DMs & EMs

  • Higher risks in EMs ⇒ Volatility risk plus political, legal,

social & economic issues

  • Application of standard methods not appropriate ⇒

Adaptation = add CR to discount rate

  • Oversimplification ⇒ Assumption that CR
  • Same for all industries & companies
  • Represented accurately by sovereign bond spread

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The Country Risk Adjustment

  • CAPM discount rate includes non-diversifiable market

risk ⇒ Symmetric

  • Country risk reflects CF shortages due to economic,

politic, social, legal conflicts (in EMs) ⇒ Asymmetric

  • Violation of foundations of basic model
  • Combination of components of different nature into

discount rate

  • Estimation of not truly expected CFs

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The Country Risk Adjustment

Symmetric vs. Asymmetric Risk Factors

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The Country Risk Adjustment

  • New proposal ⇒ consider impact of CR in estimated

CFs (not discount rate)

  • Estimation of unconditional expected CFs discounted

at global discount rates

  • Possibility to allow for different impact of CR for

different companies/industries

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) , , ( ] | [ k CountryRis MarketRisk

  • ney

TimeValueM f te DiscountRa NoCrisis CF E NPV = = ) , ( ] [ MarketRisk

  • ney

TimeValueM f te DiscountRa CF E NPV = =

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Concept of Country Risk

Country risk premium ⇒ Sovereign bond spread CR of shareholders = CR sovereign bondholders Bond holdings

  • Discount promised CFs at risk-free rate (US) or at

discount rate that includes default premium (EM)

  • Two components of default premium
  • Default probability
  • Recovery rate

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Concept of Country Risk

Payoffs from US & EM Bonds

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Concept of Country Risk

Equity holdings

  • US ⇒ Discount most probable at market risk adjusted

discount rate

  • EM ⇒ Discount conditional expected CFs at market &

country risk adjusted discount rate Why default premium on sovereign bonds = incremental equity risk in EM companies?

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Concept of Country Risk

Discounting Conditional Expected CFs

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Concept of Country Risk

Key components behind EM’s sovereign bond spreads

  • Default probability of government
  • Recovery rate expected by bondholders

Sovereign bond spread = CR ⇒ Two assumptions

  • Both components important for assessing equity risk ⇒

Default prob. of government = prob. economic crisis

  • Recovery rate for bondholders = Recovery rate for

shareholders

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Concept of Country Risk

EMs bondholders recovery rates reliable indicator of shareholders recovery in crisis times? In crisis, value of companies will vary depending on

  • Fundamental of business
  • Degree of government intervention

E.g., in Argentina 2002 ⇒ Firms with significant exports

  • vs. regulated businesses in domestic market

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A Simulation Approach

Solution proposed ⇒ Capture effect of CR not in discount rate but in estimation of CFs Estimation of unconditional expected CFs ⇒ Two inputs

  • 1. Probability of crisis ⇒ Estimate using default prob.

implicit in sovereign bond pricing

  • 2. Recovery

values expected by shareholders ⇒ Fundamentals of the business & degree of government intervention After estimating unconditional expected CFs ⇒ discount rate with only market volatility risk (Global CAPM)

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A Simulation Approach

Estimating unconditional expected CFs

  • Estate
  • f

EM = random variable with binomial distribution (p = default probability)

  • A company’s recovery value = f (analyst’s views &

assumptions) Discount rate does not include CR component Final

  • utput

⇒ Estimated NPVs represented by ‘histogram’ of valuations (sensitivity analyses)

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A Simulation Approach

Three main benefits

  • Avoid use of conditional expected values & ad hoc

discount rates

  • Incorporate firm data about recovery values (instead of

EMs bond spreads)

  • Better analytical tools ⇒ Estimated distribution of NPV

values

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Recommended Readings

  • Henisz, W.J. and Zelner, B.A. (2010): ‘The hidden risks

in emerging markets’. Harvard Business Review, April 2010, 88–95.

  • Lamont, J. and Fontanella-Khan, J. (2011): ‘India:

Writing is on the wall’. Financial Times.

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