9/21/2020

8.3 Adverse Selection #Notebook

 8.3 Adverse Selection #Notebook


Without Discovering The Truth

The seller has superior information and indeed has an incentive to increase the asymmetry by putting a Band-Aid over any obvious problems. As a result, hapless buyers learn that he has overpaid after they discover the truth.


Sometimes, the sellers can’t credibly inform buyers.


The market for used car dealers may be too competitive, leading to many failures, which gives dealers incentives to engage in rent-seeking (ripping off customers) and disincentives to establish long-term relationships. 


In recent years, many used car salesmen have cleaned up their acts from the likes of AutoNation, CarFax.com, and similar companies have reduced asymmetric information by tracking vehicle damage using each car’s unique vehicle identification number (VIN), making it easier for buyers to reduce asymmetric information without the aid of a dealer.


Adverse selection for insurance

Safe risks are not willing to pay much for insurance because they know that the likelihood that they will suffer a loss and make a claim is low. 

Risky firms, by contrast, will pay very high rates for insurance because they know that they will probably suffer a loss. 


Financial facilitators and intermediaries seek to profit by reducing adverse selection. They do so by specializing in discerning good from bad credit and insurance risks, it's called screening.


Potential lenders want to know if your income minus expenses is large and stable enough to service the loan.


Potential insurers want to know if you have filed many insurance claims in the past because that may indicate that you are clumsy, or worse, a shyster who makes a living filing insurance claims.


However, financial intermediaries often make mistakes....

Insurers like State Farm, for example, underestimated the likelihood of a massive storm like Katrina striking the Gulf Coast. 

Subprime mortgage companies that lend to risky borrowers and miscalculated the likelihood that their borrowers would default since competition between lenders and insurers induces them to lower their screening standards to make the sale.


Another way of reducing adverse selection is the private production and sale of information. Companies like Standard and Poor’s, Fitch’s, and Moody’s used to compile and analyze data on companies, rate the riskiness of their bonds, and then sell that information to investors. 


However, the free-rider problem killed off that business model. The free riders had to pay only the variable costs of publication; the rating agencies had to pay the large fixed costs of compiling and analyzing the data.


In the mid-1970s, the bond-rating agencies began to give their ratings away to investors and instead charged bond issuers for the privilege of being rated. The new model greatly decreased the effectiveness of the ratings. Moreover, instead of pleasing investors, the agencies started to please the issuers....


Due to the free-rider problem inherent in markets, banks and other financial intermediaries have incentives to create private information about borrowers and people who are insured.


Governments can no more legislate away adverse selection than they can end scarcity by decree. However, do them favors. 

In the United States, for example, the Securities and Exchange Commission (SEC) tries to ensure that corporations provide market participants with accurate and timely information about themselves, reducing the information

asymmetry between themselves and potential bond and stockholders.





Reference

Wright, R.E. & Quadrini, V. (2009). Money and Banking. Saylor Foundation.  Licensed under Creative Commons Attribution-NonCommercial-ShareAlike CC BY-NC-SA 3.0 license.






8.2 Transaction Costs, Asymmetric Information, and the Free- Rider Problem #Notebook

 8.2 Transaction Costs, Asymmetric Information, and the Free- Rider Problem #Notebook


Minimum efficient scale in finance is larger than most individuals can invest because most of his or her profits would be eaten up in transaction costs, brokerage fees, the opportunity cost of his or her time, and liquidity and diversification losses. Many types of bonds come in $10,000 increments and so are out of the question for many small investors. A single share of some companies, like Berkshire Hathaway, costs thousands or tens of thousands of dollars and so is also out of reach. 


Most shares cost far less, but transaction fees, even after the online trading revolution of the early 2000s, are still quite high, especially if an investor were to try to diversify by buying only a few shares of many companies. 


Through Scale Economies

They need superfast computers and to engage in large-scale transactions. You can’t profit-making .001% on a $1,000,000,000 trade instead of a $1,000 one.


Making loans directly to entrepreneurs or other borrowers? The timetrouble, and cash it would take to find a suitable borrower would likely wipe out any profits from interest. 


A new type of banking, called peer-to-peer banking, might reduce some of those transaction costs. In peer-to-peer banking, a financial facilitator, like Zopa.com or Prosper.com, reduces transaction costs by electronically matching individual borrowers and lenders


Most peer-to-peer facilitators screen loan applicants in at least a rudimentary fashion and also provide diversification services, distributing lenders’ funds to numerous borrowers to reduce the negative impact of any defaults. 


Although the infant industry is currently growing, the peer-to-peer concept is still unproven. Even if the concept succeeds, it will only reinforce the point made here about the inability of most individuals to invest profitably without help.


Financial intermediaries can provide help and achieve minimum efficient scale. Banks, insurers, and intermediaries pool the resources of many investors which allows them to diversify cheaply.


Instead of buying 10 shares of Apple’s $100 stock and paying $7 for the privilege (7/1000 = .007) they can buy 1,000,000 shares for a brokerage fee of maybe $1,000 ($1,000/1,000,000 = .0001). 


Financial intermediaries do not have to sell assets as frequently as individuals because they can usually make payments out of inflows like deposits or premium payments.


Financial intermediaries' cash flow reduce their liquidity costs. Individual investors often find it necessary to sell assets to pay their bills.


Financial intermediaries are experts at what they do, but does not mean that they are perfect. As we learned during the financial crisis that began in 2007.


Asymmetric information makes our markets, financial and otherwise, less efficient and it is possible to make outsized profits by cheating others. 


Financial intermediaries and markets can reduce or mitigate asymmetric information, but they can no more eliminate it than they can end scarcity. 


Financial markets are more transparent than ever before, but at the edges of every rule and regulation yet dark corners remain.


The government and market participants can, and have, forced companies to reveal important information about their revenues, expenses, and more.


What is the precise nature of this great asymmetric evil? Turns out this Cerberus, has three heads: 

  1. Adverse selection
  2. Moral hazard
  3. The Principal-agent problem

9/20/2020

8.1 The Sources of External Finance #Notebook

 8.1 The Sources of External Finance #Notebook


The financial system connects savers to spenders or investors to entrepreneurs in two ways, via markets, and via financial intermediaries. But most of the real action, however, takes place behind closed doors in banks, non-bank financial companies, and other institutional lenders.


Most companies are small and most small companies finance most of their activities by borrowing from their suppliers or, sometimes, their customers. Most such financing ultimately comes from loans, bonds, or stock. 


Companies that extend trade credit act, as nonbank intermediaries, channeling equity, bonds, and loans to small companies. This makes sense because suppliers usually know more about small companies than banks or individual investors do.


A $1,000 year-long bank loan renewed each year for 20 years would count as $20,000 of bank loans, while the sale of $1,000 of equities would count only as $1,000. 


Most external finance does not come from the sale of stocks or bonds. 


In less economically and financially developed countries, an even higher percentage of external financing comes to nonfinancial companies via intermediaries rather than markets.


Why are bank and other loans more important sources of external finance than stocks and bonds? 

Why does indirect finance, via intermediaries, trump direct finance, via markets? 

Why are most of those loans collateralized? 

Why are loan contracts so complex? 

Why are only the largest companies able to raise funds directly by selling stocks and bonds? 

Why are financial systems worldwide one of the most heavily regulated economic sectors?


Those questions can be answered in three ways: transaction costsasymmetric information, and the free-rider problem



How Does Dimensional Fund Advisors make money by taking advantage of the Efficient Market Hypothesis

 Introduction

Dimensional Fund Advisors, an investment consulting firm, is a believer in market efficiency and its managers make money by applying this strong belief. This company was founded in 1981 who has a long history of applying academic research to practical investing. They offer a full range of equity and fixed income strategies designed to target higher expected returns. But, how does the investment consulting firm make money by taking advantage of the efficient market hypothesis? In their intro, it states "We are passionate about what we do, and through our close relationships with institutional investors, consultants, and financial advisors globally, we’ve seen the difference our approach has made in people’s lives over the past 35 years". Is this company really great at doing this, or something else? This is what we are going to find out.


Before we dig into what they are actually doing, some basic concepts and key terms we need to understand, the market efficiency, arbitrage, risk versus return, and indexing.


The Market Efficiency

Market efficiency refers to the degree to which market prices reflect all available, relevant information. In other words, "the prices have already reflected all available information". Therefore, if markets are efficient, then all information is already incorporated into prices, and so there is no way to beat the market because there are no undervalued or overvalued securities available. This is so-called the efficient market hypothesis, states that investors can't outperform the market, and that market anomalies should not exist because they will immediately be arbitraged away. 


Arbitrage

Arbitrage is the purchase and sale of an asset to profit from a difference in the asset's price between markets. Simply to say, it is a trade that profits by exploiting the price differences of identical or similar financial instruments in different markets. Arbitrage exists as a result of market inefficiencies and would not exist if all markets were perfectly efficient. 

For example, many sellers on Amazon.com are actually purchasing their products from Alibaba.com, put on their marks, brands, send them to Amazon Fulfillment Center, and then sell them on Amazon.com. Even those products are identical, you can also purchase them on Alibaba.com all by yourself. But due to you don't put the efforts on finding these kinds of opportunities, you will buy them at a higher price on Amazon.


Indexing

Indexed investing is a strategy designed to match a market, not beat it. Done properly, it can be cheap and efficient. Many mutual funds and exchange-traded funds, make it possible for individuals to invest some or all of their assets in indexed strategies. However, the manger of an index fund doesn't have much to do, only passive investing or active investing. How good is the performance of active and passive strategies? Suppose the market as a whole returned 10.0% in that year. Before costs, what did each passive investor get? Approximately 10.0%. How about active investors? It's maybe 15%, 3.4%, or -23.0%, depends on how you did it. 


How big is the advantage of this approach? It depends on the average added costs for active management. Therefore, investors who highly agree with the efficient market hypothesis tend to buy index funds that track overall market performance and are proponents of passive portfolio management. However, many studies have shown that actively managed mutual funds do not systematically outperform the market.


Risk vs Return

Investors think of the information they know in common differently because their utility functions differ, different holding periods, and different sensitivities to risk. Financial market efficiency means that it is difficult or impossible to earn abnormally high returns at any given level of risk while returns increase with risk. If holding risk and liquidity constant, returns should be the same.


How Does This Firm and Other Make Money by Taking Advantage of The Efficient Market Hypothesis?

Now, let's talk about this investment consulting company, Dimensional Fund Advisors. The first I want to mention is that they take the advantage of some principles of persuasion, to persuade their clients that they are the best. Principles such as authority, liking, and reciprocity have been used to encourage people to join their projects. Some of their reports are reprinted by permission of Morningstar, which is a famous company in the financial field. 


Take a closer look at what they said on their website, "We seek to impact governance in several ways, including through proxy voting and listening to companies held in the portfolios we manage. We also seek to improve internal processes through research on governance matters and participation in industry surveys and events". So, it looks like they are trying to do research on the companies they invested in, and it may be much more insightful and worthy. But, recall the market efficiency hypothesis we mentioned earlier. If markets are efficient, then all information is already incorporated into prices, and so there is no way to beat the market because there are no undervalued or overvalued securities available. This doesn't make sense and it's contradictive because they just dig into more information than the general public would do. However, I think it probably depends on the information asymmetry since a 100% efficient market does not exist also.


In the report, it also mentioned that Dimensional’s investment philosophy is based on the idea that "market prices reflect all publicly available information commonly known as market efficiency." and they offer strategies that attempt to beat the market "by targeting exposures to what it views as the types of risks that the market compensates". 


Summaries the report, this company takes advantage of the information asymmetry pretty well. In order to profit from it, they targeting the unexposed profitabilities. However, unexposed opportunities will soon become exposed due to the availability of information technology is improving day by day.






Reference

Chappelow, J. (2020, August 29). Market Efficiency Defintion. Retrieved September 20, 2020, from https://www.investopedia.com/terms/m/marketefficiency.asp


DFA’s Disciplined Approach Earns It a Top Mark. (2015, July). Retrieved 2015, from https://www.oakwoodcap.com/wp-content/uploads/2017/07/Dimensional_Morningstar_Stewardship.pdf


Dimensional Investing: Dimensional Fund Advisors. (n.d.). Retrieved September 20, 2020, from https://us.dimensional.com/


Sharpe, W. F. (n.d.). Indexed Investing: A Prosaic Way to Beat the Average Investor. Retrieved September 20, 2020, from https://web.stanford.edu/~wfsharpe/art/talks/indexed_investing.htm




9/19/2020

7.4 Evidence of Market Efficiency

 7.4 Evidence of Market Efficiency

Sophisticated statistical analyses of stock and other securities prices indicate that they follow a “random walk.” 


If securities prices in efficient markets are not random, and determined by fundamentals, particularly interest rate, inflation, and profit expectations. Why is random is their direction, up or down, in the next period?

That’s because relevant news cannot be systematically predicted. (If it could, it wouldn’t be news.) 


So-called technical analysis, the attempt to predict future stock prices based on their past behavior, is therefore largely a chimera. On average, technical analysts do not outperform the market. 


Three types of market efficiency: weaksemi-strong, and strong. Today, most financial markets appear to be semistrong at best.


In every age, financial markets tend to be more efficient than real estate marketscommodities markets, labor, and many services markets because financial instruments have a very high value compared to their weightuniform quality, and little subject to wastage.


Futures markets have arisen to make commodities markets more efficient. 

Mortgage markets, also help to improve the efficiency of real estate markets.


Labor and services markets are the least efficient of all. People won’t or can’t move to their highest-valued uses; they adapt very slowly to technology changes; and regulations imposed by governments and others by labor unions, limit their flexibility on the job. 


Markets for education, healthcare, and custom construction services are also highly inefficient due to high levels of asymmetric information.


Many legitimate companies try to sell information and advice to investors. The value of that information and advice, however, may be limited. 


Even if the research is unbiased and good, by the time the newsletter reaches you, even if it is electronic, the market has probably already priced the information, so there will be no above-market profit opportunities remaining to exploit.


Only one investment advice newsletter, Value Line Survey (VLS), has consistently provided advice that leads to abnormally high risk-adjusted returns.


It isn’t clear if VLS has deeper insights into the market, if it has simply gotten lucky, or if its mystique has made its predictions a self-fulfilling prophecy: investors believe that it picks super stocks, so they buy its recommendations, driving prices up, just as it predicted! 


January Effect, the predictable rise in stock prices that for many years occurred each January until its existence was recognized and publicized. 


Financial securities, including stocks, tend to overshoot when there is unexpected bad news. After a huge initial drop, the price often meanders back upward over a period of several weeks. This suggests that investors should buy soon after bad news hits, then sell at a higher price a few weeks later. 


Sometimes, prices seem to adjust only slowly to news, even highly specific announcements about corporate profit expectations. That suggests that investors could earn above-market returns by buying immediately on good news and

selling after a few weeks when the price catches up to the news. 


The small-firm effect, returns on smaller companies, are abnormally large. Why then don’t investors flock to such companies, driving their stock prices up until the outsized returns disappear? Some suspect that the companies are riskier than researchers believe. 


The most important example of financial market inefficiencies is so-called asset bubbles or manias.


Periodically, market prices soar far beyond what the fundamentals suggest they should. During stock market manias, like the dot-com bubble of the late 1990s, investors apparently popped sanguine values forg into models like the Gordon growth model.


Our brains are pretty scrambled, especially when it comes to

probabilities and percentages. 


Behavioral finance uses insights from evolutionary psychology, anthropology, sociology, the

neurosciences, and psychology to try to unravel how the human brain functions in areas related to finance. [10] For example, many people are averse to short selling, selling (or borrowing and then selling) a stock that appears overvalued with the expectation of buying it back later at a lower price.


Human foible is that we tend to be overly confident in our own judgments. Many actually believe that they are smarter than the markets in which they trade.


Another source of inefficiency in financial markets is asymmetric information, when one party to a transaction has better information than the other.


Greater transparency and more fervent attempts to overcome the natural limitations of human rationality would help to move the markets closer to strong form efficiency.








References

Wright, R.E. & Quadrini, V. (2009). Money and Banking. Saylor Foundation. Licensed under

      Creative Commons Attribution-NonCommercial-ShareAlike CC BY-NC-SA 3.0 license.  

      Available from: https://www.saylor.org/site/textbooks/Money%20and%20Banking.pdf

How Do Information Systems Affect Market Efficiency?

 How Do Information Systems Affect Market Efficiency?

As we already know that the demand and supply are the reasons why stock prices are fluctuating like waves on the sea. And we also know that multiple factors would influence the waves' upper and drop. According to the price theory, if the market price of anything differs from the equilibrium price, market participants will bid the market price up or down until equilibrium is achieved. However, the equilibrium price is determined by the demand and supply which means they are influenced by factors like the prices of alternative goods, expectations, technology, income, preferences, the number of participants, natural events, government, regulations, and more. 


To Know The Price of Relative Investment Are Available

As we also know, these factors are also hugely influenced by information technology. For example, the prices of alternative goods, how do know that somewhere, has a cheaper alternative good that can increase your return before we have Google, the internet? Without these tools, how can you quickly get that kind of information to adjust your investment and your portfolio? It may take days or even longer for everyone to make a wise decision with poor information technology. Today, real-time news or podcasts can give you some pieces of information although they are not always right. But they do reduce the time we need to search for relative information and help us make decisions more quickly.


Expectations

How do predict the future of the price a stock and invest it before it becomes the next Tesla? You make your prediction and imagine the future with your own model. But how much information do you have in your brain? Or, just a dream? Information technology helps us make much more "real" decisions instead of just predict the dream can true.


The Number of Participants 

Recently, a very popular app called Robinhood helps many young and first-time traders in the US to build their first portfolios. The app helps tons of traders to quickly trade on the move with a single click and confirm, and hugely upsized the liquidity of the capital investment. Investors who value any particular asset most highly will click the buy button to own it, and more and more people have the opportunity to pay the most for it, therefore allocationally efficient. 



Reference
Wright, R.E. & Quadrini, V. (2009). Money and Banking. Saylor Foundation. Licensed under Creative Commons Attribution-NonCommercial-ShareAlike CC BY-NC-SA 3.0 license.

7.3 Financial Market Efficiency

 7.3 Financial Market Efficiency

If the market price of anything differs from the equilibrium price market participants will bid the market price up or down until equilibrium is achieved. 


The investor who values the asset most highly will come to own it because he’ll be willing to pay the most for it. Financial markets are therefore allocationally efficient


Where free markets reign, assets are put to their most highly valued use, even if most market participants don’t know what that use or value is. 


Financial markets are also efficient in the sense of being highly integrated which means prices of similar securities, or assets track each other closely over time, and prices of the same security trading in different markets are nearly identical.


Arbitrage, the profit opportunity that arises when the same security at the same time has different prices in different markets. By buying in the low market and immediately selling in the high market, an investor could make easy money. 


As soon as an arbitrage opportunity appears, it is immediately exploited until it is no longer profitable. (Buying in the low market raises the price there while selling in the high market decreases the price there.) Therefore, only slight price differences that do not exceed transaction costs persist.


The size of those price differences and the speed with which arbitrage opportunities are closed depending on the available technology


The transaction costs (fuel, tolls, hotels, and fees) are too high explains why people don't arbitrage the international price differentials of Big Macs, or any other physical things. However, online sites like eBay, or Amazon have recently made arbitrage in nonperishables more possible than ever by greatly reducing transaction costs.


After carefully studying all the transaction costs, the freight, insurance, brokerage, weighing fees, foreign exchange volatility, weight lost in transit, even the interest on money over the expected shipping time, the unit, the British ton (long ton, or 2,240 pounds), and the U.S. ton (short ton, or 2,000 pounds) are not the same thing. 


However, arbitrage and other unexploited profit opportunities do exist on occasion, not completely impossible.


In an efficient market, all unexploited profit opportunities and arbitrage opportunities, will be eliminated as quickly as the current technology set allows. 


In an efficient market, the optimal forecast return and the current equilibrium return are one and the same. For example, the rate of return on a stock is 10% but the optimal forecast or best rate of return, due to a change in information, was 15%. Investors would quickly bid up the price of the stock, thereby reducing its return. 


Financial market efficiency means that it is difficult or impossible to earn abnormally high returns at any given level of risk while returns increase with risk. 


Holding risk (and liquidity) constant, though, returns should be the same, especially over long periods. 


Many studies have shown that actively managed mutual funds do not systematically outperform the market.

9/17/2020

7.2 Valuing Corporate Equities

 7.2 Valuing Corporate Equities

corporate equitystock, sometimes called a share. It is a share in the ownership of a joint-stock corporation. 

Ownership entitles investors to a say in how the corporation is run, usually means one vote per share in corporate elections for the board of directors, and monitor the corporation’s professional managers. 

Ownership also means that investors are residual claimants, entitling them to a proportionate share of the corporation’s net earnings (profits).


In exchange for their investment, stockholders may receive a flow of cash payments, usually made quarterly, called dividends. Unlike bond coupons, they are not fixed, it is not considered in default. 


The stock valuation method, the one-period valuation model, simply calculates the discounted present value of earnings and selling price over a one-year holding period:

P = E / ( 1 + k ) + P1 / ( 1 + k )

P = price now

E = yearly earnings or profit

k = required rate of return

P1 = expected price at year’s end


So if a company is expected to earn no profit, its share price is expected to be $75 at the end of the year, and the required rate of return on investments in its risk class is 10%, an investor would buy the stock if its market price was at or below P = 0/1.10 + 75/1.10 = $68.18. 

Another investor might also require a 10% return but think the stock will be worth $104 at the end of the year. He’d pay P = 0/1.10 + 104/1.1 = $94.55 for the stock today! 


What should be the price of a common stock paying $3.50 annually in dividends if the growth rate is zero and the discount rate is 8%?


P = 3.5 / (1+ 8%) + P / (1+8%) 

P = 43.75



If the next year’s dividend is forecast to be $5.00, the constant growth rate is 4%, and the discount rate is 16%, then the current stock price should be 42.67 (You can do it yourself)




What constant growth rate in dividends is expected for a stock valued at $37.82 if a $4.00 dividend has just been paid and the discount rate is 15%?


Suppose g = the constant growth rate

37.82 = 4 (1+ g) / (1+ 15% ) + 37.82 (1+ g) / (1+ 15%)

g = 4%

7.1 The Theory of Rational Expectations

 7.1 The Theory of Rational Expectations

The direction of price movements (up or down) is indeed random, but price levels are based on the rational expectations of a large number of market participants. 


Prices in those markets help to determine what gets made and what doesn’t, how much gets produced and how, and where and how those goods are sold.


Systematic manipulation of the market was impossible because the bulls and bears competed against each other, each tugging at the price, but ultimately in vain. 


As rational investors learned the tricks of trading, they came to expect hyperbole, false rumors, sham sales. 


In the final analysis, market fundamentals, not the whims of nefarious individuals, determined prices. 


Stock and other securities prices fluctuate due to changes in supply or demand, not because of the machinations of bulls and bears.


“The expectation of an event", creates a much deeper impression upon the exchange than the event itself.


Expectations are paramount, people invest based on what they believe the future will bring, not on what the present brings or the past has wrought, though they often look to the present and past for clues about the future. Rational expectations theory posits that investor expectations will be the best guess of the future using all available information. 


Expectations do not have to be correct to be rational; they just have to make logical sense given what is known at any particular moment. An expectation would be irrational if it did not logically follow from what is known or if it ignored available information. 


For the former reason, investors expend considerable sums on schooling, books, lectures to learn the best ways to reason correctly given certain types of information. 

Investors update their expectations, or forecasts, with great frequency, as new information becomes available, which occurs basically 24/7/365.


If everyone’s expectations are rational, then why don’t investors agree on how much assets are worth? Such differences in valuation are important because they allow trades to occur by inducing some investors to sell and others to buy. 


Investors sometimes have different sets of information available to them. Some investors may have inside information, news that is unknown outside a small circle. 


Investors think of the information they know in common differently because their utility functions differ, different holding periods, and different sensitivities to risk.


Investors use different valuation models, different theories of how to predict fundamentals most accurately and how those fundamentals determine securities prices. 


Financial crises almost always follow asset bubbles. Some investors understand the effect of some ripples more quickly and clearly than others. Investors often have a wide variety of opinions about the value of different assets. 


More mechanically, investors might have different opinions about bond valuations because they must have different views about the applicable discount or interest rate


PV=FV/(1+i)n

If this is a one-year zero coupon bond, FV = $1,000, and i = 6%, then the bond price = ($1,000/1.06) = $943.40. But if one believes i = 6.01, then the bond price = ($1,000/1.0601) = $942.51. To understand how investors can value the same stock differently, we must investigate how they value corporate equities.

Chapter 6 The Economics of Interest-Rate Spreads and Yield Curves Notes

 Chapter 6 The Economics of Interest-Rate Spreads and Yield Curves Notes


The 1930s, the Great Depression, dried up profit opportunities for businesses and hence shifted the supply curve of bonds left, further increasing bond prices and depressing yields. (If the federal government had not run budget deficits some years during the depression, the interest rate would have dropped even further.)


During World War II, the government used monetary policy to keep interest rates low. After the war, that policy came home to roost as inflation began. A higher price level puts upward pressure on the interest rate. 


Positive geopolitical events in the late 1980s and early 1990s, the end of the cold war, and the globalization, also helped to reduce interest rates by rendering the general business climate more favorable (thus pushing the demand curve for bonds to the right, bond prices upward, and yields downward). 


6.2 Interest-Rate Determinants I: The Risk Structure

Why the yields on Baa corporate bonds are always higher than the yields on Aaa corporate bonds?


Why bonds issued by the same economic entity with different maturities, have different yields, why the rank order changes over time?


Investors care mostly about three things: riskreturn, and liquidity


Bonds issued by different economic entities have very different probabilities of default.

The U.S. government has never defaulted on its bonds and is extremely unlikely to do so, and its efficient tax administration (the Internal Revenue Service [IRS]) could always meet its nominal obligations by creating money. (That might create inflation) Except for a special type of bond called TIPS, the government promise to pay a nominal value, not a real [inflation-adjusted] sum, so the government does not technically default when it pays its obligations by printing money.)


Municipalities have defaulted on their bonds in the past and could do so again in the future because, although they have the power to tax, they do not have the power to create money at will. Nevertheless, the risk of default on municipal bonds (aka munis) is often quite low.


Munis are exempt from most forms of income taxation.


Corporations are more likely to default on their bonds than governments are because they must rely on business conditions and management acumen. 


Credit-rating agencies, including Moody’s and Standard and Poor’s, assess the probability of default and assign grades to each bond, the agencies are rife with conflicts of interest, and the market usually senses problems before the agencies do.


The most liquid bond markets are usually those for Treasuries. The liquidity of corporate and municipal bonds is usually a function of the size of the issuer and the amount of bonds outstanding. 


Corporate Baa bonds have the highest yields because they have the highest default risk, and not very liquid. 


Investors do not need as high a yield to own Treasuries as they need to own corporates. 


Corporate bond ratings go all the way down to C (Moody’s) or D (Standard and Poor’s), used to be called high-yield or junk bonds but are now generally referred to as B.I.G. or below investment-grade bonds.) 


Eager for tax-exempt income lead people to purchased large quantities of municipal bonds, driving their prices up (and their yields down) since, tax considerations, the highest income brackets exceed 30 percent.


The terrorist attacks on New York City and Washington, DC, in September 2001, some claimed that people who had prior knowledge of the attacks made huge profits in the financial markets. How would that have been possible?

The most obvious way would have been to sell riskier corporate bonds and buy U.S. Treasuries on the eve of the attack in expectation of a flight to quality, the mass exchange of risky assets (and subsequent price decline) for safe ones (and subsequent price increase).


6.3 The Determinants of Interest Rates II: The Term Structure

Holding the risk structure of interest rates, default risk, liquidity, and taxes, all constant. The term structure of interest rates, the variability of returns due to differing maturities


Even bonds from the same issuer, the U.S. government, can have yields that vary according to the length of time they have to run before their principals are repaid. 


Sometimes short-term Treasuries have lower yields than long-term ones, sometimes they have about the same yield, and sometimes they have higher yields.


The yields of bonds of different maturities (but identical risk structures) tend to move in tandem, and the yield curves usually slope upward


Sometimes, the yield “curve” is actually flat—yields for bonds of different maturities are identical, or nearly so.


Sometimes, particularly when short-term rates are higher than normal, the curve inverts or slopes downward, indicating that the yield on short-term bonds is higher than that on long-term bonds. 


Theory and empirical evidence both point to the same conclusion: bonds of different maturities are partial substitutes for each other, not perfect substitutes.


Generally, investors prefer short-term bonds to long-term ones, but they reverse their preference if the interest rate goes unusually high


There is one thing that can induce investors to give up their liquidity preference, their preferred habitat of short-term bonds: the expectation of a high interest rate for a short term. 


Investors think of a long-term bond yield as the average of the yields on shorter-term obligations, so when the interest rate is high by historical norms but expected after a year or so to revert to some long-term mean, they will actually begin to prefer long-term bonds and will buy them at much higher prices (lower yields) than short-term bonds. 


in = [ (ie0 + ie1 + ie2 + ie3 + .... ie (n − 1 ) ) / n ] + ρn


in = interest rate today on a bond that matures in n years

iex = expected interest rate at time x (0, 1, 2, 3, . . . through n)

ρ = the liquidity or term premium for an n-period bond.


The yield today of a bond with 5 years to maturity, if the liquidity premium is 0.5% and the expected interest rate each year is 4, is 4.5: i5 = (4 + 4 + 4 + 4 + 4)/5 + .5 = 20/5 + .5 = 4.5, implying an upward sloping yield curve because 4 < 4.5.


Short-term and long-term bonds issued by the same economic entity did not often differ much in price. 


One possibility is that there was no liquidity premium then. Short-term bonds suffered less interest rate risk than long-term bonds, but investors often complained of extremely high levels of reinvestment risk, of their inability to cheaply reinvest the principal of bonds and mortgages when they were repaid. Lenders often urged good borrowers not to repay, to continue to service their obligations. 


Another not mutually exclusive possibility is that the long-term price level stability, the interest rate less volatile. The expectation was that the interest rate would not long stray from its long-term tendency.


The yield curve as the market’s prediction of future short-term interest rates, by extension, an economic forecasting tool. Where the curve slopes sharply upward, the market expects future short-term interest rates to rise. Where it slopes slightly upward, the market expects future short-term rates to remain the same. Where the curve is flat, rates, it is thought, will fall moderately in the future. 


Empirical research suggests that the yield curve is a good predictor of future interest rates in the very short term, the next few months, and the long term, but not in between. 


Economic forecasters use the yield curve to make predictions about inflation and the business cycle. 


A flat or inverted curve, for instance, portends lower short-term interest rates in the future, which is consistent with a recession but also with lower inflation rates. 

A curve sloped steeply upward, by contrast, portends higher future interest rates, which might be brought about by an increase in inflation rates or an economic boom.




Reference

Wright, R. E. (2009). Money and Banking. Saylor Foundation. https://open.umn.edu/opentextbooks/formats/641. 

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