The staged analysis method for securities markets takes as its core a three-layer universal framework of “long-term slope (growth quality) + intermediate volatility (leverage/speculation) + long-cycle slope adjustment (productivity change),” providing a unified explanation for the price patterns of any market or target. Its central finding is: the numerator (revenue/productivity/technology) provides slope; the denominator (leverage/valuation/speculation) provides volatility. Mature markets have high slope and low volatility (U.S. equities rise perpetually over a century); developing-stage markets have low slope and high volatility (A-shares tread water over a decade). The fundamental difference lies in whether the numerator can sustain slope output — not in sentiment or capital flows. From this, the framework derives a three-factor diagnosis of A-shares’ slope deficiency (unstable earnings + absent buybacks + absent high dividends), a life-cycle matching judgment for how era makes the hero, and the three-step diagnostic procedure of “first identify slope → identify volatility position → judge slope-adjustment period → look at price last.” Data point: 2022.
The Framework As It Stands
This section is compiled from research notes: the original framework’s structure, terminology, and key formulations are preserved, including editorial bridging and supplementary external factual notes; diagrams are drawn by the compiler following the original structure.
I. The Slope-Volatility-Productivity Three-Layer Universal Framework (Thread A, Central Node of This Entry)
Compared to the introductory “long- and short-cycle interplay” two-layer model, this entry adds a third layer:
- Long-term slope: Long-term growth (economic/income/earnings growth)
- Intermediate volatility: Cyclical factors (debt-leverage expansion and contraction, boom-bust-recession-recovery)
- Long-cycle slope adjustment: The slope itself is adjusted by productivity changes (the qualitative-transformation layer of the long cycle)
The one-line core: The numerator (revenue/productivity/technology) provides slope; the denominator (leverage/valuation/speculation) provides volatility.
This structure applies universally at three levels: ① macroeconomic level = potential productive capacity (slope) + debt leverage (volatility); ② meso level = long-term revenue (slope) + leverage expansion/contraction (volatility); ③ stock price level = corporate earnings growth (numerator) + financial leverage changes (denominator).
It is complementary to the capex mid-cycle revealed in The Juglar Cycle: The Equipment Capex Mid-Cycle and Its ROE Essence — the latter focuses on the specific drivers within the intermediate volatility layer, while this entry provides the overall three-layer framework.
II. The Numerator-Denominator Structure of Stock Prices
Stock prices follow earnings + productivity over the long term (numerator), with intermediate disturbances from leverage + speculation (denominator). The numerator provides directional slope; the denominator creates volatility amplitude. Once this structure is understood, one can judge whether current price movements are driven by the numerator (earnings/productivity) or the denominator (leverage/valuation/speculation) — this is the core of distinguishing “trend” from “noise.”
III. Growth Quality Determines the Fundamental Characteristics (Thread B)
The same denominator volatility, superimposed on different-quality numerators, produces entirely different price curves. The level and quality of the numerator (revenue/productivity/technology) is the determining factor for an asset’s fundamental characteristics. Between high-revenue-growth and low-revenue-growth assets, and between high-quality and low-quality growth, price performance characteristics differ completely.
Judgment rule: When two diverging trajectories are observed, first ask about differences in the numerator (growth quality), rather than attributing the divergence solely to the denominator (sentiment/capital flows).
IV. Mature Markets vs. Developing-Stage Markets
| Dimension | Mature Market (U.S. Equities) | Developing-Stage Market (A-Shares) |
|---|---|---|
| Numerator | High slope; earnings/productivity output is sustained | Low slope; earnings distribution is uneven, growth is unstable |
| Denominator | Institutionally dominated; low volatility | High retail participation; high volatility |
| Pattern | Perpetually rising over a century; intermediate declines are volatility | Treading water for a decade; bull-and-bear rotation |
| Correct description | Low-volatility regime vs. high-volatility regime | Bull market vs. bear market |
| VIX 30+ meaning | Extreme volatility (danger) | Normal range |
Judgment rule: Applying the “down 20% = bear market” standard to mature markets is meaningless — the long-term trajectory is perpetually upward; intermediate declines are mere volatility.
Cross-stage comparisons are prohibited: comparing U.S. equity indices or P/E ratios with A-shares is like comparing a 20-year-old and a 50-year-old doing the same task — one must first determine what development stage each market is in before comparing performance within the same stage.
V. Three-Factor Diagnosis of A-Shares’ Slope Deficiency
A-shares’ weak numerator is evident in three areas:
- Uneven earnings distribution and unstable growth
- Absence of large-scale buybacks — buybacks are standard equipment for shareholder-return enhancement in mature markets
- Absence of high-dividend, large-proportion distributions
Of these three factors, A-shares possess only “earnings,” and even that is of inconsistent quality. Root cause: The market is in a developmental stage; its core function is to finance the real economy. This financing orientation dilutes the numerator, lowers slope, and amplifies volatility.
If A-shares were to broadly introduce a buyback mechanism, index performance would approach that of mature markets — the morphological difference is not “the inherent nature of A-shares” but rather that functional positioning determines numerator-side structure.
VI. Era Makes the Hero (Thread C)
This framework emphasizes that the success of an investment style depends heavily on the match between an individual’s life cycle and the industrial/market cycle. Buffett’s outstanding returns stemmed from his having lived through a special period that spanned two mature phases of successive industrial cycles. Ordinary investors are unlikely to experience two complete industrial cycle maturation phases; if they happen to encounter an early stage of massive turbulence, mechanically applying value investing to A-shares does not necessarily yield high returns. The same method can produce vastly different returns in different eras — not because the method itself is better or worse, but because the era may or may not provide fertile ground for the method.
VII. Shaping Factors Beyond Price and the Three-Step Diagnostic Procedure
Beyond price, market morphology is also shaped by: participant structure (U.S. equities institutionally dominated → low volatility; A-shares with high retail participation → high volatility), three elements of market structure (primary/secondary market marketization, corporate governance), regulation (delisting mechanism), and market purpose (U.S. market-oriented vs. China’s policy-driven function). Predicting price by staring at price is fundamentally a reversal of causality.
Three-step diagnostic procedure (for any target):
- Identify the long-term slope (what is the numerator, and what is the growth quality)
- Identify intermediate volatility (current positioning of denominator-side leverage/valuation/speculation)
- Determine whether a slope-adjustment period is underway (whether there is a qualitative shift in productivity/technology/institutions)
Complete the three-layer assessment before examining price.
The Three Threads
| Thread | Core Proposition | Judgment Rule |
|---|---|---|
| A (Three-layer framework) | Numerator provides slope, denominator provides volatility, long cycle = productivity adjusts slope | Decompose three layers first; look at price last |
| B (Growth quality) | Same denominator volatility + different-quality numerator → entirely different curves | When trajectories diverge, attribute to numerator first, not denominator |
| C (Era makes the hero) | Style success = life cycle × industrial/market cycle match | Evaluate a method by locating its cycle context first; do not mistake temporal tailwinds for universal applicability |
Compiler’s Perspective
Coordinates: Category = Market Mechanisms and Microstructure / axis_h = Fa / axis_v = Why It Is So
Junction layer:
The three threads in this entry each correspond to a class of high-frequency analytical errors. Thread A’s typical error: “A-shares have already fallen 20%; by historical valuation averages we have reached the bottom” — this conclusion is drawn at the “denominator: current positioning of leverage/valuation/speculation” layer, but entirely skips the structural fact “numerator: uneven earnings distribution, absent buybacks, absent high dividends → chronically low slope.” The price bottom for A-shares cannot be assessed using the valuation percentile benchmarks of mature markets, because the slope deficiency on the numerator side imposes a systematic discount on fair valuation. Thread B’s typical error: attributing the strong performance of A-shares consumer sectors in 2020–2021 to “the consumption-upgrade thesis being robust and household willingness recovering” (denominator side: sentiment/capital inflows), while ignoring the numerator — whether actual earnings growth rates of consumer-sector bellwethers actually supported the slope during this period, and whether the local move was amplified by denominator factors (fund herding, liquidity premium). The two different attributions produce entirely different holding periods and exit judgments. Thread C’s typical error: taking Buffett’s 20%+ annualized returns from 1965 to 2005 as a “universally applicable principle of value investing” and transplanting it to the current A-shares cycle — yet this framework shows that Buffett’s returns arose from coincidentally spanning two mature phases of consecutive industrial cycles (petrochemical industry → information technology). An ordinary investor can neither achieve the same time horizon nor is likely to encounter anything other than the turbulent early stage of an industrial cycle; mechanically transplanting the approach is equivalent to planting the same seed in the wrong cycle’s soil.
This entry’s exclusive incremental claim: Among the three factors behind A-shares’ slope deficiency, the absence of buybacks and dividends is a structural cause, not merely a symptom of market immaturity — the root cause is that the market’s function has been positioned as “financing the real economy,” which means the capital operations of listed companies serve the financing objective first and shareholder return second. The systematic dilution of the numerator is the result of an institutional choice, not an individual-stock quality problem that can be repaired by “waiting for value investing to revert to the mean.” This claim can only be precisely articulated by readers who have worked through this entry’s “root cause: financing orientation takes priority over shareholder return.”
The Options War reveals from the level of market-maker and institutional gaming how the specific market structure of high-liquidity, low-retail-participation U.S. equities acts on price volatility — this is the counterpart to this entry’s structural explanation “U.S. equities institutionally dominated → low volatility.” The Kuznets Cycle: Positioning the Long Real Estate Cycle and the Four Layers of Housing Prices provides cyclical positioning for one root cause of A-shares’ numerator-side “unstable earnings” (the long real estate cycle determining household asset structure). The soul_anchor “long-termism · abstracting to reach the essence · enjoying the process” has the following specific meaning here: the value of the three-step diagnostic procedure lies not in predicting each rise and fall, but in constructing a stable cognitive framework — the mandatory sequence of “identify slope first, look at volatility second, examine price last” is itself an exchange of process for understanding of underlying patterns, not an exchange of prediction for short-term win rates.
See Also
-
The Juglar Cycle: The Equipment Capex Mid-Cycle and Its ROE Essence
-
The Kuznets Cycle: Positioning the Long Real Estate Cycle and the Four Layers of Housing Prices
Source
Compiled draft z-0071 · catalogued 2026-07
External course, Lecture 2.1