The best predictor of stock price performance - New Academy of Finance (2024)

According to Barron’s, Morgan Stanley recently put together a team of quantitative strategies to work, determining which stock signals have tended to best predict stock price performance over time.

In this article, we highlight what this stock signal is and using a combination of screening criteria linked to this signal, we derived a list of 14 S&P 500 stocks and 9 SGX stocks that currently fit these criteria. Read on to find out more.

Is value investing dead?

The team looked at 4,000 stocks going back to 1997, becausethat’s about what high quality data first became available. They looked atfactors such as Price/Earnings ratios, revenue growth, leverage and share pricemomentum, a grand total of 81 screening criteria.

A key takeaway: Do not give up on value stocks. However, consider a different way you look at them. If a company has a decent dividend yield, that will be a welcome sign as investors are being paid to wait for a company’s “intrinsic value” to be realised by Mr Market. A better signal will be total capital return, which includes both dividends and stock buybacks.

Value investing, as a strategy has under-performed over the past few years. Look at Warren Buffett’s Berkshire Hathaway that has under-performed the S&P500 Index for quite a while now. That left many investors wondering if value investing as a strategy is dead.

However, according to the research, over a relatively longperiod of time, in this case 22 years, value factors still beat growthfactors.

More critically, an alternative measure of value based onfree cash flow rather than earnings has done much better, trouncing acomposite of growth factors and other value factors over the past 5 years and22 years.

Free Cash Flow is the money that a company collects after paying for big-ticket investments, typically termed as their capital expenditure or capex for short.

Free Cash Flow = Operating Cash Flow – Capex

Some believe this is a better measure of earnings, where earnings are more easily manipulated based on accounting rules and management’s assumptions. Free cash flow is generally more difficult to manipulate. It is the excess money a company generates which can be channelled towards dividend payments as well as share buy backs.

Best Stock Price Predictor

Worldwide, a portfolio that bought stocks with the lowestP/Es and bet against those with the highest ones beat the market by anannualised 4.4 percentage points (ppt) over the past 22 years but just 0.8 pptover the past 5 years.

The best stock price predictor was Free Cash Flow divided by Enterprise Value (where enterprise value is defined as a company’s market capitalisation adjusted for the company’s cash and debt)

This measure beat the market by 8.3 ppt over the past 22years and 3.7 ppt over the past 5. This compared much favourably to growthfactors which beat the market by barely anything over the past 22 years andless than 1 ppt over the past 5.

Separately, according to the report, a company’s yield which incorporates both dividend payments as well as share buy backs predicted better performance than one based on dividends alone.

US Stocks

So based on this article, we created our own screeningcriteria which incorporated these factors for the S&P 500 counters:

  1. Price/Free Cash Flow Multiple < 15x
  2. EV to EBITDA < 10x
  3. Dividend Yield > 2.9%
  4. 5 Year annualised share buy-back > 2%
  5. Exclude the Retail (Cyclical) Industry

Our screener churned out a list of 14 S&P 500 stocks that met these criteria at present

The best predictor of stock price performance - New Academy of Finance (2)

We did a little back-testing on our own for this strategy but with limited data availability. If you have bought names that fulfilled these criteria at the start of 2019, such a strategy would have beaten the S&P500 index by 4ppt in 2019.

The best predictor of stock price performance - New Academy of Finance (3)

However, it is definitely inconclusive to base a back-testing result just on a single year performance.

SGX Stocks

We also did a screening for the SGX market based on these criteria

  1. Price/Free Cash Flow Multiple < 15x
  2. EV to EBITDA < 10x
  3. Dividend Yield > 3.1%
  4. Return on Invested Capital > 15%

We excluded the share buyback criteria as companies in these countries do not have the culture of aggressive share buy-back. Instead more focus is on the payment of dividend. We included an additional Return on Invested Capital metric or ROIC for short, with a minimum base ratio of 15%. This is a ratio that measures the efficiency of a company at allocating the capital under its control to profitable investments.

The best predictor of stock price performance - New Academy of Finance (4)

The screener threw out a list of pretty interestingsmall-mid cap names such as Straco Corp, Valuetronics and in the big-cap spacefor SGX, we have Venture Corp.

If we are to expand our coverage beyond Singapore and into HK, we can find bigger cap names such as China Vanke, Country Garden etc that fits these criteria.

Conclusion

Many people are still out there searching for THE Holy Grail criteria when it comes to investing. There really isn’t a perfect screening criterion in my opinion and when it boils down to active stock selection, one will need to put in the necessary hard work and time to learn and understand the company in question.

Using a free cash flow type screener typically requires a longer time frame for the outperformance to materialise, in my opinion. In the meantime, one is paid a dividend to wait, which at > 3%/annum, is a decent return compared to most low-yielding “safer” investment products.

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Disclosure: The accuracy of material found in this article cannot be guaranteed. Past performance is not an assurance of future results. This article is not to be construed as a recommendation to Buy or Sell any shares or derivative products and is solely for reference only.

The best predictor of stock price performance - New Academy of Finance (2024)

FAQs

What is the most accurate stock market predictor? ›

Zacks Ultimate has proven itself as one of the most accurate stock predictors for more than three decades. Incepted in 1988, this established service has produced phenomenal returns for its members. In fact, since 1998, Zacks Ultimate has generated average annualized returns of 24.3%.

What is the best model to predict stock price? ›

LSTM, short for Long Short-term Memory, is an extremely powerful algorithm for time series. It can capture historical trend patterns, and predict future values with high accuracy.

What is the best method to forecast the stock price? ›

A popular method for modeling and predicting the stock market is technical analysis, which is a method based on historical data from the market, primarily price and volume.

Can GPT4 predict stock prices? ›

Integration with GPT-4 API

This integration facilitates the model to analyze and predict stock prices and communicate these insights effectively to the users. The GPT-4 API, with its advanced natural language processing capabilities, can interpret complex financial data and present it in a user-friendly way.

Can you accurately predict stock market? ›

Key Takeaways. Predicting the market is challenging because the future is inherently unpredictable. Short-term traders are typically better served by waiting for confirmation that a reversal is at hand, rather than trying to predict a reversal will happen in the future.

What is the best website for stock analysis? ›

MoneyControl.com

Money Control is the most popular website among Indian stock investors and traders. Global ranking of Money Control is 615, Country wise ranking is 50 and category rank 1.

What are the mathematical methods to predict stock prices? ›

The P/E multiple or price/earnings ratio compares the closing price of the stock with the earnings of the last 12 months. A high value is often a reflection of lofty expectations of stock price and may indicate that the stock is overpriced.

How to predict stocks for day trading? ›

The way to find the best stocks for day trading is by having a scanner that sorts and filters stocks based on volatility and volume. Another way is to keep tabs on the most volatile stocks in the market on a regular basis and keep these on your watchlist.

How accurate is AI stock prediction? ›

"We found that these AI models significantly outperform traditional methods. The machine learning models can predict stock returns with remarkable accuracy, achieving an average monthly return of up to 2.71% compared to about 1% for traditional methods," adds Professor Azevedo.

How to use ChatGPT to predict stocks? ›

So here are six smart ways to use ChaptGPT to analyze a stock.
  1. Gain a high-level understanding of a company.
  2. Perform a SWOT analysis.
  3. Summarize earnings calls.
  4. Evaluate a company's ESG credentials.
  5. Generate code to backtest buy and sell signals.
  6. Identify key risks.
  7. Looks good, but what are ChatGPT's limitations?

Can ChatGPT make stock predictions? ›

Chat GPT Stock Market Prediction represents a significant advancement in the field of stock market analysis and prediction. By leveraging the power of GPT models and integrating them with real-time market data, investors can access personalized and actionable insights through natural language conversations.

What is the mathematical model to predict the stock price? ›

Therefore, the Brownian motion is usually used to model a stock price. However, Brownian motion process has the independent increments property. This means that the present price must not affect the future price. In fact, the present stock price may influence the price at some time in the future.

How accurate are stock prediction models? ›

With the proposed strategy, the Random Forest model achieved the highest accuracy of 91.27% followed by XG Boost, ADA Boost and ANN. In the later part of the paper, it is shown that only classification report is not sufficient to validate the performance of ML model for stock market prediction.

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