financial environment: fn6411 summer 2004 sris chatterjee

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Financial Environment: FN6411 Summer 2004 Sris Chatterjee

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Page 1: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Financial Environment: FN6411

Summer 2004

Sris Chatterjee

Page 2: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

From WSJ, 30 April 2004Fed Fund Target Rate 1%

CPI increase 3/2003 to 3/2004

LIBOR

USD|Turkish Lira

SP500

DJIA

DJIA Divisor

10 Year Treasury

Euro|USD

BRKA

1.70%

1.10%

4.53%

1113.89

10272.27

0.1409

1428571

1.198

$95,700

Page 3: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

The Financial Environment

• Interest Rates

• Inflation

• Stock and Bond Returns

• Volatility

• Currency Exchange Rates

• Investors

Page 4: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Questions

• What does Mr. Greenspan “cut” when he is “cutting” rates ?

• And how does he “cut” it ?

• What is the discount rate ?

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Questions

• What is the yield to maturity or YTM ?

• What is coupon yield ?

• What do bond ratings signify ?

• How does inflation affect the rates ?

• What factors are important ?

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Source: Roll, ”Empirical TIPS “ Financial Analysts Journal, Jan/Feb 2004 P. 39

Theoretical Yield-Curve Movements

Page 13: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Theories of Term Structure

• Pure Expectations Theory

• Liquidity Theory

• Preferred Habitat Theory

• Market Segmentation Theory

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Source: Jones and Wilson,”The Changing Nature of Stock and Bond Volatility, “ Financial Analysts Journal, Jan/Feb 2004 P. 102

Nominal and Inflation-Adjusted Annualized Monthly Geometric Mean Returns for Stocks and- Bonds, 1871-2000

Page 19: Financial Environment: FN6411 Summer 2004 Sris Chatterjee
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Source: Jones and Wilson,”The Changing Nature of Stock and Bond Volatility, “ Financial Analysts Journal, Jan/Feb 2004 P. 106

Geometric and Logarithmic Means and Standard Deviations for Nominal and Inflation-Adjusted Stock and Bond Annual Returns, 1871-2000

Page 21: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Jones and Wilson,”The Changing Nature of Stock and Bond Volatility, “ Financial Analysts Journal, Jan/Feb 2004 P. 107

Variances, Covariances, and Correlations for Nominal and Inflation-Adjusted Stock and Bond Annual Returns, 1871-2000

Page 22: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Jones and Wilson,”The Changing Nature of Stock and Bond Volatility, “ Financial Analysts Journal, Jan/Feb 2004 P. 107

Nominal and Inflation-Adjusted Compound Returns and Standard Deviations for Various Portfolios of Stocks and Bonds, 1871-2000

Page 23: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Chan and Lakonishok, ”Value and Growth Investing: Review and Update “ Financial Analysts Journal, Jan/Feb 2004 P. 77

Returns, Risk, and Past Performance for Value and Glamour Portfolios, May 1968-April 1990

Page 24: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Kothari and Shanken, ”Asset Allocation with Inflation-Protected Bonds “ Financial Analysts Journal, Jan/Feb 2004 P. 59

Descriptive Statistics for Indexed and Nonindexed Bond Returns

Page 25: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Kothari and Shanken, ”Asset Allocation with Inflation-Protected Bonds “ Financial Analysts Journal, Jan/Feb 2004 P. 62

Correlation between Real and Nominal Stock and Bond Returns

Page 26: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Kothari and Shanken, ”Asset Allocation with Inflation-Protected Bonds “ Financial Analysts Journal, Jan/Feb 2004 P. 67

Optimal Portfolios of Indexed Bonds, Nonindexed Bonds, and Stocks Based on Nominal Monthly Returns, 1997-2003

Page 27: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Roll, ”Empirical TIPS “ Financial Analysts Journal, Jan/Feb 2004 P. 33

Daily Returns: Means and Standard Deviations

Page 28: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Source: Roll, ”Empirical TIPS “ Financial Analysts Journal, Jan/Feb 2004 P. 49

Efficient Frontier with Two TIPS, Two (Nominal) T-Bonds, and the CRSP Value-Weighted Index

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Flow of Goods and Services:

The net exports of any country are the value of a country’s exports minus the value of its imports.

Net exports are also known as the trade balance.

If net exports are negative, then we talk about a trade deficit.

If net exports are positive, then we talk about a trade surplus.

In the case of the value of imports being equal to the value of exports, we say that a country has balanced trade.

Flow of Capital:

Net foreign investment refers to the purchase of foreign assets by do-mestic residents minus the purchase of domestic assets by foreigners.

Net foreign investment (NFI) must always equal net exports (NX):

NFI = NX

Page 34: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

A nation’s savings and investment are related to the international flow of goods and services, and of capital. This can be shown formally as follows…

Net exports (NX) can be found in the components of Gross Domestic Product (GDP):Y = C + I + G + (X – M), where X is the value of goods exported and M is the value of goods imported. In other words, (X–M) is equal to net exports (NX).

Re-arranged, this equation can be written as

Y – C – G = I + NX

As national savings (S) are equal to the national income that is left after consumption (C) and government expenditure (G), we can also write the following:

S = I + NX(or S – I = NX)

We know that net exports are equal to net foreign investment. Therefore

S = I + NFI

Page 35: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

The equation S = I + NFI shows us that a nation’s savings must equal its domestic investment plus its net foreign investment. In other words, when Spanish citizens, for instance, save one Euro of their income for the future, this money can be used to finance Spanish investments (I) or it can be used to finance the purchase of capital abroad (NFI).

We can also use the saving-investment equation to explain the fallacy of a trade deficit being a sign of a lack of competitiveness. Looking at the equation S = I + NX, we can state that a trade deficit (NX then being negative) is not a problem in itself but is more a symptom of a problem, namely low national savings.

To be more explicit, the reason for trade deficits lie in the extent to which national savings are not able to cover domestic investments.

Page 36: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Purchasing Power Parity – How Good is the Data? The Economist conducts a yearly analysis of PPP. It is known as the Big Mac index and

compares the price of Big Macs, with each local price being converted to US dollars.

If PPP holds, then the converted US dollar price should be the same as the price that exists in the US.

The table, using data from July 2001 taken from the website http://www.oanda.com/products/ bigmac/bigmac.shtml, shows that PPP does not always hold. In this case, we talk of either an overvaluation or an undervaluation.

For Switzerland, this index shows that a Big Mac costs 41% more in dollar terms in Switzerland than it does in the US. Hence, the Swiss franc is said to be overvalued by 41%.

Country in Local Currency in US dollarsActual exchange rate:

1 USD =

Over (+) / Under(-) Valuation against the

dollar (%) Purchasing Power PriceUnited States $2.43 $2.43 1 - -Australia A$2.65 1.3636 1.9434 -43.9127 1.09Brazil Real2.95 1.1724 2.5161 -51.9097 1.21Britain £1.90 2.6954 0.7049 10.654 0.78Canada C$2.99 1.9462 1.5363 -19.9375 1.23China Yuan9.90 1.196 8.2778 -50.8323 4.07Denmark Dkr24.75 2.9002 8.5338 19.4075 10.19Euro area €2.52 2.199 1.146 -15.3578 0.97Japan ¥294 2.3722 123.935 -2.3682 121Malaysia M$4.52 1.1893 3.8005 -51.0591 1.86Switzerland SFr5.90 3.4235 1.7234 41.0003 2.43

Big Mac Prices

data from http://www.oanda.com/products/bigmac/bigmac.shtml, July 2001Purchasing Power Price: local price divided by price in United States.

Page 37: Financial Environment: FN6411 Summer 2004 Sris Chatterjee

Purchasing Power Parity and the EUR|CHF Rate

1.4

1.5

1.6

1.7

1.8

1.9

2.0

2.1

1982 1984 1986 1988 1990 1992 1994 1996 1998 2000

EUR|CHFPPP EUR|CHF

Source: Warburg Economic Research Switzerland