Book summary: Barbarians at the gate by Bryan Burrough and John Helyar

This book documents the series of events leading up to the successful leverage buyout (LBO) of RJR Nabisco.

Mechanism of an LBO exercise

  • Figure out the cheapest possible price to acquire the asset and its future cashflows while keeping transaction costs low
  • The acquisition team access the business to decipher potential cashflow, areas for cost savings and parts that could be sold off
  • The acquisition team raises private money to do the acquisition
  • During this period of time bandwidth of law firms and banks are fully engaged
  • Competing offers should be expected once a public announcement of an LBO buyout is made
  • Law firms and investment banks will charge fees even if the hiring party does not win the bid

Methods for financing an LBO exercise

  • issue of junk bonds
  • raising from private investors
  • issue of shares to directors to drive down level of cash required for the purchase
  • payment through cash
  • utilization of legal loop holes to reduce taxation on the LBO transaction

Motivations for an LBO exercise

  • The management team:
    • a option to exercise when the market is persistently undervaluing the shares of the business
    • free up value to reward themselves and their share holders
    • the CEO being the typical Type A personality got bored and restless from running his day to day business
  • The investment banks:
    • when the market is down but they still need to figure out ways to make money through business transactions
    • some needed an opportunity to enhance their prestige so as to attract future opportunities. Securing a prominent position in the transaction has that effect

Lessons from the LBO exercise

  • The inability to sit in a room and doing nothing is the source of most trouble.
    • The CEO ended off worst off than he did before the LBO event
  • Having inside support matters
    • Having support of the management team provides knowledge of where cost savings could be had in the operations
  • Just when you think shit will not happen, it usually does.
    • The management team was expecting an uneventful transaction. Unfortunately, the operation quickly escalated out of control when competing bids surfaced.
  • When money is cheap, Wall street gets creative
    • the Federal reserve provides cheap money which cannot be put to real economic use, LBO is just another method Wall Street utilizes to make a profit from this cheap money
  • When egos start getting involved, its no longer about making a profit
    • the successful acquirer ended up defaulting on a lot of the junk bonds issue
    • what started as an initial USD76/share bid quickly escalated to USD106/share
  • When an opportunity as large as this becomes available, the services of lawyer firms and bank credit becomes scarce and it is hard to gain access to such facilities as a new comer to the table
  • Companies actively manage Wall Street expectation
    • RJR Nabisco actively engaged in wasteful activities to project a steadily advancing year over year profitability and thus share price. It could have operated efficiently and have the share price reflect the actual value on day one
  • The core business will falter overtime when the operators get distracted by other activities and are no longer engaged and connoisseur of their own products
    • early employees of Reynolds cigarettes are themselves enthusiast smokers. They released a new product only when it passes their own taste test
    • later management were focused on milking the cash cow and started changing the culture as such
  • Negotiation dynamics
    • the senior financiers will generally play the diplomat (good cop)
    • the junior and middle level financiers will be in charge of hashing out the details (bad cop)

 

Key lessons from When Genius Failed by Roger Lowenstein

When Genius Failed
When Genius Failed, Roger Lowenstein

Overview

This book documents the rise and fall of Long Term Capital Management. A hedge fund that specializes in government arbitrage

LTCM’s trading methodology

  • Yield for bonds of the same length of maturity with the different maturity dates issued by the US treasure will tend towards each other over time.
  • Bond’s past a specific time frame becomes less liquid hence gets discounted by fund managers
  • leverage up to 30X capital to short the over bought bond and long the over sold bond, essentially making the difference with little capital employed

Causes for LTCM’s failure

  • becoming overly reliant on their models
    • a period of continuous credit spread widening was followed by the Russian government bond default. LTMC continuously doubled down on their position assuming the trend would eventually reverse
  • not taking into account that unlikely long tail negative events. When they occur the impact tend to be very large
  • Excessive use of leverage
    • up to 30X as compared to 20X employed by most hedge funds
    • made possible by FOMO of all banks who were eager to profit by extending credit lines
    • partners borrowed money from banks using securities they own within the firm as collateral
  • The margins of any profitable trading methodology will tend to get eroded overtime as big banks start tapping into the same opportunities
  • Stepping beyond their circle of competence and expecting the same methodology to still work with international bonds
    • assuming political dynamics overseas (Russia) will be the same as within the US
  • banks unloading sections of their portfolio likely to be impacted by LTCM’s position after news of LTCM’s funds and positions they hold further exacerbated their problem
  • Winding an extremely large position is extremely difficult
    • not enough liquidity
    • will negatively impact price

Lessons for LTCM’s failure

  • guard against hubris / overconfidence
  • be self aware of your circle of confidence and staying within it
  • always check for faulty assumptions in your reasoning
  • avoid excessive use of leverage
  • monitor for long tail events that are emergent by nature
  • do not double down on any positions that did not performed up to expectation
  • guard information about your trades tightly
  • be wary of entering into positions with little liquidity
  • If your fund gets into trouble and you owe the bank a small amount of money its your problem, but when it is an extremely large amount of money it becomes their problem

Insights from evening with Wine and Jam session with Adriene and Dennis, Birthday party with Konstantine

From Tommaso on Machine Learning – Economics

  • Study was done on Italy
  • Voting patterns can be leading indicators for credit spread
  • When a political party is stable, Eigen distance between votes of party members will cluster together, even for bills that are not critical for parties
  • When a political party becomes unstable, the Eigen distance between vote on non-critical bills by party members will increase
  • Alignment will increase before a wild swing to misalignment
    • periods of high alignment leads to very tight credit spread
    • tight credit spread indicates a very high price for bond
  • Misalignment will decrease before consolidation towards alignment
    • periods of low alignment leads to very wide credit spread
    • wide credit spread indicates a very low price for bond
  • proposed strategy:
    • when alignments increase, short bonds in anticipation for forthcoming misalignment
    • when misalignments increase, long bonds in anticipation for forthcoming alignment

From Tommaso on Machine Learning – Micro-biology

  • Started studying how presence specific bacteria affects health at an aggregate level
  • Studying ancestral tree of bacterias help estimate the distribution of bacteria in the gut of different individuals

On sales

  • Mormons are one of the best sales people due to their coming to age ritual.
  • They typically will get rejected many many times during their passing through rite

On human cyborgs

  • Neil Harbisson is an artist who is color blind, he implanted a device into his brain which allows him to see colors

On hardware and biotech with Andrew

  • To design printed circuit board install IDE which allows easy assembly, simulation and coding – DesignSpark
  • Firmware for micro-processors are written in C. Firmware controls where signals are past to when incoming signals are received
  • Micro-processors are installed on circuit board
  • Can be printed in China and shipped over in 5 days – PCBWay
  • BioCurious and another biotech hacker space up in Berkeley have managed to train yeast to product cocaine and THC

Related readings

Macro economic extension to loss aversion reversion to mean trading methodology – Government versus Government scenario

Trading Heuristics

Chain of events and decision making

The decision making processes from June 2019 after the federal reserve signal likelihood of cutting interest rate leading up to the 2019 August downward mean reversion of the SnP.

19th June 2019, Federal Reserve signals for first time likely decrease of interest rates

Federal Chairman expresses concerns about potential cross winds caused by US trade policies and its impact on their dual mandate.

10th July 2019, news paper reports SnP reaches all time high

SnP on the cusp of crossing 3000 threshold for the first time to an all time high. Market is euphoric. Trade issue between US/China yet resolved but discussions are underway.

Short positions SQQQ and SRTY were utilized as hedges against downward macro environment reversion risk when the SnP extended beyond 3000 to reach an all time high

1st August 2019, US announcement of 10% tariffs on US300 billion imports from China starting September 2019

on 1st August, 24 hours after actual interest rates cut, Trump signaled 10% tariffs on USD300 billion Chinese import. SnP dropped.

Exited SQQQ and SRTY for 10% capital gain after reaching 30SMA and 50SMA range. Net combined loss to portfolio was 0.5%.  Left remaining long positions open.

4th August 2019, Chinese response

On 4th Aug 2019, China’s exchange rate dropped for the first time below 7RMB/1USD.

5th Aug 2019 trading day

On 5th Aug 2019, China announced they will halt all imports of agricultural goods from US.

Portfolio continued declining an additional 2% on the trading day of 5th August 2019.

Closed all long positions with the exception of REITs

Decline overview

  • SnP
  • REITs
  • Value shares
  • Growth shares

6th Aug 2019 trading day

On the evening of 6th Aug 2019, China announced decision to control fluctuation of RMB exchange rates to USD

Bought into TQQQ and URTY at below 30SMA and 50SMA

7th Aug 2019 trading day

TQQQ and URTY automatically exited at the mid point between the two following highs and lows:

  • highest point  before Trump’s tariff announcement came into effect
  • lowest point after China’s halt on US agricultural imports and RMB/USD breaking 7 came into effect

Related readings

Donald Trump’s August 1st 2019 tweet on additional tariffs

Highlights

  • The effect of a negative shock is 3X worst that the effect of a disappointment
  • The effect of a negative shock is longer lasting than the effect of a disappointment
  • The market does retain memory of prior states
  • Seems like each negative political macro event has approximately negative 3% impact on the SnP

Series of events

Wednesday, 31st July 2019, 2pm, US Federal Reserve’s disappointment

  • Federal Reserve announced an interest rate cut of 0.25% from 2.5% to 2.25%
    • no hints of further cuts
    • before announcement SPY price 300.04
    • after announcement SPY price 296.98
    • net effect on SPY -1.02%

Thursday, 1st Aug 2019, 10.26am, US President’s negative shock

  • President Donald Trump announced additional 10% tariffs on remaining 300 billion imports from China on Twitter.
    • before announcement SPY price 300.45
    • after announcement SPY price 291.02
    • net effect on SPY -3.14%
    • SPY price still above the 7th June 2019 price of 288.97 when the effect of Fed’s hint to adjust interest rate cuts has been priced in.

Sunday, 4th Aug 2019, 6.20pm PST, China exchange rate sinks below 7CNY/1USD for the first time

Monday, 5th Aug 2019, 9.58am PST, China suspends purchases of US farm products

  • US Market takes a sharp dip on Monday
    • SPY price 281.90 at lowest point
    • net effect on SPY -3.13%

Monday, 5th Aug 2019, 5.27pm PST, China announces fix to prevent further RMB depreciations against the USD

  • US market rebounds
    • SPY price 293.55 at highest point
    • net effect on SPY 4.13%

13th Aug 2019 Trump announces delay of tariff

  • US market rebounds
    • SPY price 292.32 at highest point
    • net effect on SPY 1.91%

14th Aug 2019 UK and US 2 years / 10years yield curve inverts. Germany reports GDP shrinkage for 2019Q2

  • US Market takes a sharp dip
    • SPY price 284.20 at lowest point
    • net effect on SPY -2.77%

Related artifacts

Trump’s tweet on additional 10% tariffs at 1st Aug 2019, 10.26am PST
Chinese RMB crosses 7RMB/1USD for the first time on 4th Aug 2019, 640pm PST

Related readings

Federal Chairman Jerome Powell on 0.25% interest rate cuts

Overview

  • Outlook for the US economy is favorable but
    • core inflation is only at 1.6% instead of 2%
    • cutting interest rate by 0.25% from 2.5% to 2.25%
  • insurance against downside risk
    • global growth is slowing
    • trade policy tension is a new stimulus to the equation and it is a concern
  • key objectives
    • strong job economy
    • 2% inflation rate
  • adopt an iterative approach by observing how economy reacts to policy changes

Key areas of concern

global growth slow down

  • US core inflation rate is at 1.6% – excludes food and energy inflation which are cyclical
    • US GDP sustained
  • US manufacturing declined in 2019Q1 and 2019Q2
  • US business fixed investment slowed in 2019Q1 and fell in 2019Q2
    • companies uncertain about investment spending
    • not seeing additional demand for products
  • June US job growth slowed in 2019Q2
  • disinflation rates observed in other countries
    • manufacturing in rural China and the EU are slowing

highly leverage business sector within the US

  • Business borrowings are excessive
  • loans have moved off balance sheet of banks to market based vehicles

Positive signals of sustained US economy

  • rising household income drives confidence
  • no booming sectors observed hence no concerns for busts

Federal Reserves framework for monitoring risks

  • Excessive leverage in the Financial sector
  • Excessive asset valuations
  • Excessive debt loads in households and business
  • Funding risks that could result in sudden shortfall of liquidity

Structure of the US economy

  • US capital requirements within banks are at 2X of what is required to tide through tough times
  • Allocations
    • 70% consumer
    • 30% investments and manufacturing
      • not growing
      • remains healthy

Related references

Book summary – The Bank Credit Analysis Handbook by Jonathan Golin and Philippe Delhaise

“Panics do not destroy capital, they merely reveal the extent to which it has been previously destroyed by its betrayal into hopelessly unproductive works”, John Stuart Mill

Overviews on crisis

Crisis tends to only be obvious in hindsight. People tend to be biased towards optimism even in the darkest times.

Crisis are generally triggered by a momentary lack of liquidity which leads to  a whole cascade of events. This sends the entire system into a negative tail spin. A loss of trust in the system is the fundamental problem.

Types of crisis

  • Banking crisis:
    • usually triggered by rapid deregulation leading to excessive levels of volatility within system
    • A single bank or the entire banking system experiencing a shortfall of liquidity which deteriorates into a massive bank run.
    • takes place before financial crisis
    • reaches highest point after financial crisis
  • Financial crisis
    • country whose currency is not a reserve currency experiencing a shortfall of liquidity triggering off rapid exit of funds trying to avoid the negative currency exchange dip
  • Twin crisis
    • when both bank crisis and financial crisis occur together resulting in cross feeding.
    • economic fundamentals are deteriorating in periods preceding twin crisis

Bank failure cause by banking crisis

  • Quality of management plays a very important role in averting such crisis
  • If bank is too big to fail
    • government will attempt to step in.
    • To restore trust
    • Relatively rare
  • Smaller banks
    • will get absorbed by larger banks
  • government interventions
    • when seen as too ready to step in will encourage moral hazard
    • results in banks taking excessive risk
    • want the funds to restore liquidity to come as much as possible from the private

Indicators for banking crisis

It is generally difficult to assess banks due to information asymmetry. Banks and government will want to delay the release of bad news to prevent deterioration of an already bad condition

Spreading the financial statements across different banks will help analysis risk

  • Leading indicator:
    • Non-performing loans/assets as a percentage to total loans/assets
    • Non-performing loans as ratio to loan-loss reserves
  • Lagging indicator: net interest income falls

Risk assessment method

  • CAMEL model
    • Capital
    • Asset quality
    • Management
    • Earnings
    • Liquidity

Roles of Banks

Generalfunctions
  • Hubs of financial networks that connect supply and demand for money
  • Intermediary to smooth out friction in the flow of money
  • Spread risk of loaning money
  • Ease of liquidity
  • Securitization to move loans off balance sheets
  • Underwriting
Special functions
  • Support national payment system
  • Providing backup liquidity to non-banks
  • transmission belt for monetary policy

Types of Banks

  • Large banks – extensive network able to pull in consumer deposits at relatively low cost
  • regional banks – has deep relationships with local territory and is able to meet the needs of local business better than large banks

Types of capital

  • Consumer deposits – very sticky but small in amount
  • Commercial deposits – very volatile but large in amount

Types of banking instruments

  • Negotiable Certificate of Deposits
  • Letters of Credit
  • Derivatives
  • Futures

Credit risk

The possibility of not getting the loan and interest back due to inability or unwillingness of the borrower. Assessed qualitative and quantitative elements

external factors

  • sovereign risk
  • cyclical risk

Components to model credit risk, a.k.a. Expected Loss

  • PD – probability of default
  • EAD – exposure at default: percentage of the amount of loan that will be affected by a default event
  • LDG – loss given default
  • Time horizon – the longer the time horizon the more likely the default

Risk assessment method

  • general – Value at Risk (VaR) model
  • fixed income analysis – fundamental and technical analysis

Currency risks triggered by sovereign/country risk

  • policy lending – subsidizing industries through banking industry
  • state-owned enterprises – encourages inefficiency

Components to consider

  • GDP growth – a growing GDP will help buffer shocks to the system
  • Fiscal deficit
  • Monetary conditions
  • Balance of trade

leading Indicators

  • consumer confidence index
  • manufacturers index
  • money supply
  • yield curve

lagging Indicators

  • unemployment rate
  • inventories to sale
  • consumer credit to personal income

Risk management

  • liquidity risk
  • solvency risk
  • market risk
  • credit risk
  • credit spread risk
  • currency risk
  • operational risk

Risk assessment method

  • general – Value at Risk (VaR) model
  • Stress test

Further Readings

  • Managing banking risk, Eddie Cade
  • The dollar crisis, Richard Duncan
  • A failure of capitalism, Richard A Posner
  • Bank restructuring, Andrew Sheng
  • When genius failed, Roger Lowenstein
  • Manias, panics and crashes, Charles P. Kindleberger and Robert Aliber

Thoughts on avoiding the greater fool theory

Once a project’s mission statement is defined, it becomes easy to determine when to stop further iterations. 

Below are the listed of statements I periodically revisit when pursuing GetData.IO’s mission to help people make good decisions by making data gathering simple and affordable. 

Hypothesis 1: People no longer need make good decisions.

Hypothesis 2: People no longer need data to make good decisions.

Hypothesis 3: People no longer find it hard to get data.

Hypothesis 4: We have exhausted all known approaches to lower the cost of data gathering to an affordable range. 

Hypothesis 5: We have exhausted all viable approaches to reach people who need to make good decisions.

Hypothesis 1 and 2 are existential questions, while hypothesis 3 focuses on substitute availability. These are out of our control. The only thing we could do is monitor for changes.

Hypothesis 4 and 5 focuses on economic feasibility. These we will fully focus our efforts on. Once we eliminate all none viable options, whatever remains will be the limitations we must accept and live with. 

It is useful to note the lack of any mention on funding. The underlying assumption is that every successful iteration necessarily unlocks resources from the environment which is then fed back to further the compounding process. The discipline is to minimize wastage. 

Relying on external funding is like utilizing margins during day trading. While earnings get amplified, failures tend to be really spectacular. One additional drawback is that they tend to mask critical flaws in the short run leading to the commonly observed greater fool phenomena in the financial markets.

https://GetData.io/about-us 

Insights from dinner with Brian and Jason

Engineering compensation

  • 1% equity max for first 2 engineers.
    • 1% equity and low salary
    • 0.5% equity and medium salary
    • 0.25% equity and full salary
  • 0.5% equity max for second round of engineers
    • 0.5% equity and low salary
    • 0.25% equity and medium salary
    • 0.1% equity and full salary

Advisers compensation

  • Typically 0.5% to 0.25%

On managing the sales team

  • important to clearly defined guiding principles and policies up front
  • This will prevent sales representative from selling out of line and clashing with the Ops team leading to all round frustration.

Fund raising

  • can raise money from angels before there is even a product and distribution
  • Jason Calacanis invest in people who he feels are winners
  • Frame the opportunity and let investors fill in the details with their own models

Investors

  • Really open doors to help with follow on funding rounds
  • Brad slowly stepping away from USV to pursue his investment thesis in the crypto-currency space
  • SiliconValley Banks has established fund for investment purposes

Building

  • figure out what your super power is and quadruple down on it
  • always focus your time on the highest leverage activity
  • hire people to fill the positions and eventually replace yourself
  • practice discipline do not step across boundaries and get in the way of specialist. Focus on framing the problem and let the specialist define the solution
  • Use Slack – setup process to ensure information about sales process is disseminated to engineering team as well

On exiting

  • important to grow your personal network so that you can tap on it for key resources
  • seek out other operators within the space seeking to bolt on to their business model
  • company making 20K to pay their staff sufficient wage to continue working on the project
  • eventually find a new home of the team by selling off the company
  • figure out the key strengths of the CEO you hired and structure operations around them.

Related references

  • https://medium.com/@SiliconValleyGC/how-much-is-my-startup-advisor-worth-d97d825a6742
  • JoinMassive.com
  • Begin.com

How banks and the Federal reserve / central bank works

On US banks

  • they pay interest on deposits from customers and either borrow out the money to lenses or purchase short term US treasury . The spread between deposit interest rate paid to customers and US treasury yield/loan interest rate charged to lender is their profit
  • they charge lenders interest above long term treasury yield rate and finance the loan through either their own deposits or from borrowing
  • US Banks with deposits above USD122.3million needs to meet minimum reserve requirements of 10% imposed by the Federal reserve as of 2018

Meeting minimum reserve requirements

  • Borrow from Federal Fund Rate based on central bank interest rates
    • Used within US economy
    • rates are higher
    • hassle free
    • The federal funds rate is set in U.S. dollars and
    • charged on overnight loans.
    • The fed funds rate is the interest rate at which commercial banks in the US lend reserves to one another on an overnight basis
  • London Interbank Offered Rate (LIBOR) –
    • Used internationally
    • Borrow from other banks
    • rates are lower based on global supply and demand equilibrium
    • based on USD, EURO, Sterling, Swiss Franc, Yen
    • Quotations:
      • overnight, one week, and
      • one, two, three, six, and 12 months.

Federal reserve debt structure

  • US treasury bills:
    • short term maturity at one year or less.
    • Sold at discount
    • paid fully at maturity
  • US treasury notes:
    • 1 year to 9 years maturity
    • Sold at face value
    • pays fixed interest rates every six months.
    • Sold auction style.
  • US treasury bonds:
    • 10 years to 30 years maturity.
    • Sold at face value and
    • pays fixed interest rates every six months .
    • The original vehicle.
    • Registered to single owner and cannot be resold.

Federal Interest rate hike

  • Long term interest rate tend to react faster to hikes then short term interest rates
  • Long term Federal interest rates are used as benchmarks by banks to determine interest to charge lenders.
  • To prevent hyper inflation (price stability) after all employable people within the country have been employed into the economy.

Understanding the yield curve

  • Interest rates are considered the cost of money
  • The Federal reserve only manipulates the overnight interest rate
  • Longer term interest rates are determine by demand and supply of money
  • The Federal reserve increases the overnight interest rate by reducing the supply of money in circulation. This is achieved by supplying more short term securities in the open market, .
  • The Federal reserve decreases the overnight interest rate by increasing the supply of money in circulation. This is achieved by buying up short term securities in the open market.
  • Long term interest rates are higher than short term interest rates because long term interest rates require you to endure greater interest-rate uncertainty as well as greater likelihood of government default

Related readings