How Trading Strategies Shape Market Cycles and Efficiency

Summary

This paper uses a simplified nonequilibrium price-formation model based on market orders to study how trading styles affect market dynamics. Its analytical framework produces second-order oscillatory price behavior. Value investing alone does not guarantee that prices track estimated values, while trend following can create short-term trends alongside longer-term oscillations. Combining the two can generate boom-bust cycles, excess and persistent volatility, and fat-tailed price changes, even when linear patterns are weak.

The paper also connects market evolution to flows of money and reinvested profits. It decomposes profits through aggregate pairwise correlations and derives a capital-allocation model analogous to a population-biology model. In its efficiency analysis, trend-following patterns prove more resistant to correction than value-investing patterns, and profit-seeking slows the move toward efficiency. The suggested efficiency timescale is years to decades, based on order-of-magnitude estimates. These are implications of a theoretical model; the excerpt does not provide empirical tests or parameter conditions for applying them to specific markets.

Key ideas

• A market-order price-formation model allows analytical study of multi-period market dynamics.
• Value investing does not necessarily keep prices aligned with estimated values.
• Trend following can produce short-run trends and longer-run oscillations.
• Combining trend following and value investing can generate persistent volatility and boom-bust behavior.
• Reinvested trading profits create capital-allocation dynamics analogous to population models.
• Trend-following patterns may persist longer and slow market efficiency more than value-investing patterns.

Tags

# Market force, ecology and evolution


# Market force, ecology and evolution









Markets have internal dynamics leading to excess volatility and other phenomena that are difficult to explain using rational expectations models. This paper studies these using a nonequilibrium price formation rule, developed in the context of trading with market orders. Because this is so much simpler than a standard inter-temporal equilibrium model, it is possible to study multi-period markets analytically. There price dynamics have second order oscillatory terms. Value investing does not necessarily cause prices to track values. Trend following causes short term trends in prices, but also causes longer-term oscillations. When value investing and trend following are combined, even though there is little linear structure, there can be boom-bust cycles,excess and temporally correlated volatility, and fat tails in price fluctuations. The long term evolution of markets can be studied in terms of flows of money. Profits can be decomposed in terms of aggregate pairwise correlations. Under reinvestment of profits this leads to a capital allocation model that is equivalent to a standard model in population biology. An investigation of market efficiency shows that patterns created by trend followers are more resistant to efficiency than those created by value investors, and that profit maximizing behavior slows the progression to efficiency. Order of magnitude estimates suggest that the timescale for efficiency is years to decades.

Shown in full with attribution under the source's licence. Licence: abstract CC0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.