Showing posts with label Turning Points. Show all posts
Showing posts with label Turning Points. Show all posts

Sunday, July 12, 2026

Little Occurred During the Trading Week - Weekly Blog # 949

  

 

Mike Lipper’s Monday Morning Musings

 

Little Occurred During the Trading Week

 

Editors: Frank Harrison 1997-2018, Hylton Phillips-Page 2018

 

          

 

Introspection During a Trendless Market

I have always been curious as to why so many bright investors don’t perform better overtime. These smart people often underperform the defined middle of the market as measured by major indices for extended periods! This appears to be true for both professional and individual investors over their investing lifetime.

 

One possible answer to this riddle is that market forces at every moment offer choices. Some of these choices contribute significantly to long-term results, while most choices don’t. Excluding luck, which is always an individual factor but not a continuous factor, I believe at most critical turning points the long-term correct decision is less believable to a large majority of investors.

 

Examining Our Current Choices

Don’t look at future choices in terms of which dictate buy or sell signals, which is what most do. Instead, consider the potential impact of making the wrong decision. Does this suggest that if you make the wrong choice, you will be materially worse off? A possible third choice is to temporarily increase your liquidity and wait anxiously for more information?

 

The following current choices are before us, to either engage or wait.

  • Large-Cap Growth Funds – 2026 year-to-date +7.19 %, 5-year +10.25%, 10-year +16.18%.
  • Small-Cap Growth Funds - 2026 year-to-date +18.80%, 5-year +4.09%, 10-year +11.85%.
  • S&P 500 Yearly Growth Rate by I/B/E/S - 26Q1 29.2 %, 27Q1 14.3%, 28Q1 17.6%
  • Erika McEntarffer, former BLS Commissioner Interview comments:
    • Payroll data is a little hard to predict due to the change in labor supply.
    • Businesses response rates are harder to reach as US business data is largely an all-volunteer endeavor, whereas in many countries it is mandatory.
    • BLS staff has declined by 20% in real terms in the last 15 years.

 

Conclusions

  1. Analysts and portfolio managers must look deeper than published pundit headlines.
  2. The appropriate reaction to some less believable content may be to not only look deeper, but to also slowly commit reserves into developing investment strategies.
  3. Diversification helps reduce the chance of large losses but also reduces the chance of large gains, which are often larger than the losses.

 

Question: what do you think?  

 

 

 

Did you miss my blog last week? Click here to read.

Mike Lipper's Blog: Searching for Future Long-Term Picks: Gathering Assets, Reasons to Search - Weekly Blog # 948

Mike Lipper's Blog: Too Many Short-Term Worries To Pick Long-Term Winners - Weekly Blog # 946

Mike Lipper's Blog: Is This the Last Hurrah? - Weekly Blog # 945

 

 

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Sunday, February 12, 2017

Can You Blame Your Investment Model?



Introduction

Every moment of every trading day we are confronted with the question, “Do we buy, or sell, or just rearrange?” While one does not know exactly when the next major investment peak or bottom will be, almost all of my time should be spent on how to function between these extremes. Nonetheless, since the actual future turning points are not known, I probably should not expend a great deal of intellectual energy or emotion focusing on the search. If I have this discipline it puts me in a minority of those who make statements about the market. Perhaps my investment accounts and I are benefiting from this redirection of my emotion and mindset. Nevertheless, most of us operate in a relative performance world, my performance will be judged as how it compares with how others perform. Thus, I need to grasp how other investors, particularly institutional investors, view the market. As Hylton Phillips-Page, our firm’s VP of fund selection and I have frequent discussions with both mutual fund portfolio managers and some of their investors, I am struck that most of these chats revolve around  “the market” in general, or the price of a particular stock is expressed as a ratio of the current price to some other variable. Most of the time the managers believe they are buying and owning at some attractive discount to the larger variable. In other words they have a model which is generating a distinct benefit for their investors.

Experience as The Model

What I have learned from the Neuro-economics professors at Caltech, (where I serve as a senior trustee) is that when most are forced to make a judgment, the brain reviews its experiences. If the experiences generated pleasure it was good and thus similar situations will also be judged as good. Having been essentially a student of investing not only through my life but also of others over history where I can get some historical insight, I see a particular pattern emerging.

Most of the time prices move gradually. Often at the final run up or collapse one can divide professional investors/traders in general by age categories. Whatever driving enthusiasm is largely supported by the young, who view the then current offering as new, different, and wonderful will be the opposite of their older brethren that distrust the surge as it looks suspiciously like past problem-producing situations. Thus the more experienced players don’t participate until the parabolic price move that comes just before the turning point. Some of the more experienced players can’t stand missing out these “goodies” and need to defend themselves against the arrogance of the newly rich. (The same pattern occurs on accelerating declines to a bottom when the twin views that the world is coming to an end and/or prices fail to reflect the survival realities.)

I have noticed throughout my career that many formerly successful investors miss out on “the new thing” because the load of their experiences reminds them of past failures from over-excited enthusiasm. One of the advantages of investing through medium to large mutual fund management groups is that they often have bright analysts and portfolio managers, some with a great deal of successful experience and often, younger ones that perceive greater futures. In assembling a portfolio of mutual funds we choose some of each.

Which Past is Relevant?

To choose as the statistical base for a predictive model we have recorded human history, derived history from scientific sources in addition to yesterday’s news. I suspect we could do far worse than being guided by The Bible. It tells of seven fat years followed by seven learn years, currency manipulation by rulers, collectible and uncollectible taxes, famines, wars, disease, population growth and immigration, etc. While no one has proven that these lessons are not still applicable, we have chosen to shift to statistical measures. Most often we rely on government produced statistics. Since I have met some of the tabulators and understand how they gather data,  I have always had a jaundiced eye on their product. That is even before today’s fully expected (by me) article in the New York Times about groups of government employees developing “slow walking” strategies showing their opposition to the new Administration.

We measure our deficit, that will undoubtedly grow, as a % of our GDP which is an output measure not a wealth measure. As a matter of fact the government’s main view of the population is derived largely from aggregating tax returns. I ask how many of our readers attempt to show the largest income and the least expenses?! Further, often as people get older their wealth grows and in retirement it is their wealth not their income that motivates them.

Another source of questionable value is reported earnings of public companies. When evaluating a possible acquisition of a public company the excess assets and the operating business are separately evaluated. (I sold a data business’s operating assets, not the company and its balance sheet.)

One of the more popular valuation metrics is averaging the last ten year’s reported earnings. This is in contrast to my first lesson from Professor David Dodd, of Graham & Dodd, which was to restructure both the balance sheet and income statement to put them on a comparable basis with other companies that could have been investment candidates. Many models are based on industrial sectors as defined by either the government or a major credit rater. Over the years both IBM and Apple* among others have been shifted from sector to sector. I suggest that if one wishes to be long or short either of these securities, it will not be because of different statistical ratios with whatever industrial sector someone places them.
*Held personally.

We are in a New World

I am well aware the typical reason given to buy a security that is historically over-priced is, according to the salesperson, “This time is different.” To some extent that could be right today in that we have entered essentially a new phase. In the past the leading countries were growing in population and wealth. Often they were clearly technological leaders. In the United States, China, Japan, and developed Europe, the size of the work force is declining relative to their total populations and all are experiencing growth in seniors. (This may inhibit the new Administration’s ability to grow the US labor participation.)

Interesting that some have looked askance of my announcing our firm’s smallest new commitment to a fund that invests in the Middle East and Africa, because of favorable demographics, savings rates, and progress in their educational institutions. Based on current trends it is only a matter of time that Africa will house one quarter of the world’s population.

We are now living in a world where farming and manufacturing are becoming smaller relative to the growth of the service sector. (Service sector includes financial services which is experiencing growth from traditional sources but also new entrants and technologies. Unschooled farmers in Africa are daily monitoring the price of their commodities on cell phones. The fastest growth in the financial sector is in mobile finance and banking.)

The world is facing the integration of currencies, taxes, trade and military policies. One should expect that in the future we will understand the difference between schooling and useful education.

Do I Have a Model?

The simple answer is no. But I have a process to benefit and protect my investment responsibilities. First, I attempt to get our accounts to utilize the TIMEPSAN L Portfolio® approach which addresses the importance of getting the future right. The shorter term portfolios live in the world of the present whereas the longer term portfolios are more future oriented. Since we use funds from a number of the leading investment organizations each has their own views of the future, they will change over time.

My model essentially leans on the investment lessons that have been learned over the millennia and watching what smart commercial and investment professionals do with their long-term money.


Question of the Week (or perhaps the year): What Model Drives Your Investments?  

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Sunday, June 17, 2012

The Active vs. Passive (ETF) Investment Debate

The differences between watching golf and football are similar to the differences in active vs. passive investing.  Viewing a golf tournament such as the US Open, one focuses on the shots and skills of individual players. Each player addresses each shot and each hole somewhat differently. At the end of the day it is the way the individual utilizes the combination of his/her skills with specific shots that will translate into being a winner. Equally enjoyable is watching intensely fought team sports. In league competition such as American or European football, the different teams develop certain attributes (strong defense, high scoring, deceptive plays, and extraordinary athletic abilities) which make some teams winners over others that have many of the same skills and talents.


Advantages of passive ETFs

As an analytical device the differences between watching team-focused sports vs. individual-focused competitions are useful in the selection of funds and managers in a multi-asset portfolio. Recently I was in a couple of investment meetings with advocates of using, or completely using exchange traded funds (ETFs) as contrasted with selecting individual funds or managers. In the institutional world this issue is an extension of the passive vs. active manager debate.  One reason for the growth in popularity of ETFs over the choice of good managers/funds is that the latter group can and has underperformed the “market” benchmark (a statistical index of individual securities usually selected by a financial publisher such as Dow Jones, S&P, or Russell to describe a group or an absolute numerical goal). As passive vehicles do not utilize investment management, they are able to charge considerably less total expenses. All other things being equal, the lower the fees deducted from the gross returns of an account, the better the performance.


Being the best in a poor league is not good enough

The professional football teams that meet in the Super Bowl have the best records in their leagues and/or their play offs even though at any given game any team can win, occasionally not the expected winner.  One of the reasons that I did not comment on the 2012 running of the Belmont Stakes is that I felt that this year’s crop of three year-old horses were not as good as past classes. On the same basis, some Super Bowl winners are not as good as winners in the past. Nevertheless, on a relative basis they were the best at the time.

Because most of my accounts are directed to the long-term, individual annual winners are not usually helpful to me in building portfolios of funds and managers.  When taking a long-term approach, some individual years and other data points are not very revealing; e.g., extreme performance outliers are less critically important than market cycle turning points.

Over the last couple of years, correlations between various investment classes has narrowed significantly, “bunching” fund performance results on top of each other. Unfortunately this concentration makes it much more difficult for individual managers to assemble distinctively different portfolios that are capable of producing outstanding results.  For example, if you invested in the entire technology sector, you would have significantly under-performed a portfolio investing in only three stocks, Apple (NASDAQ: AAPL), IBM (NYSE: IBM) and Microsoft (NASDAQ: MSFT).  


Active management: picking more winners

Active management, particularly my style of investing, is quite different than passive approaches, particularly those of exchange traded funds (ETFs). All ETFs are built around a single specific metric. Some use market capitalization, sector groupings based on sales, earnings, dividends/yields, book values, growth rates, or other easily determined sorting mechanisms. Some use market capitalization weighted as distinct from others that use equally weighted portfolios.

As an analyst of electronics, broadcasting, aerospace, steel, brokerage firms and financial service companies, I regularly ranked the companies I covered against each other. In order to carry out this exercise I made a good attempt to adjust all of the issuers’ data to the same standard of disclosure. For example:  paid and accrued tax rates, product and customer mixes as well as revenue and income recognition policies. In addition I attempted to array shareholder orientation, tables of organization, motivations, etc. Using these screens I could rank with some difficulty the companies from best to worst. 

That was half the job. Next I turned to stock price. Except in some periods of stress, usually the better companies were more expensive in terms of normal valuation techniques, which rarely led to the identification of bargains. To find bargains I needed to find ignored critical observations, particularly those that were likely overlooking some vital facts. The next task was to analyze the stock price. This entailed examining who owned the most sizeable amounts of shares (insiders and large institutions) and whether they had a history of being good investors. Other factors to be considered included the identity of the floor specialists, when we had them, or other market makers, and the history of transaction volume. While I was conscious of global macro trends, rarely did they fundamentally affect the attractiveness within a sector of stocks in vital companies.  I cannot remember a single time when I recommended buying the entire list or sector. This rather long winded recitation of my analytical approaches is why I have problems buying a pre-fabricated list found in ETFs or other index funds. However, I have used index funds in some portfolios when I was unable to conduct enough research, or when there was a lack of pertinent information to confidently pick winners.

Are you an active, passive or hybrid investor?

Let me know which and why.
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