ECONOMETRIC ANALYSIS OF PRICE CYCLES AND FUNDAMENTAL DIAGNOSIS OF AXG: SHORT- AND LONG-TERM PERSPECTIVES

 

Performing trend analysis and econometric modeling, the graph shows the fit of polynomial curves to model price cycles. Evaluating the coefficients of determination (R²), we observe that the long-term sample, that is, the 702 data points taken for this timeframe, has the highest R² of 30.42%.

Although it captures the greatest variability in this range, a polynomial of such a high order tends to suffer from overfitting, which penalizes its predictive capacity outside the sample. The third-degree polynomial falls to an R² of 11.25%, demonstrating that a simple cubic model fails to capture abrupt volatility spikes (such as the large bullish shock visible near observation 150).

The linear regression is practically nonexistent (R² = 3.93%), confirming that the asset does not follow a linear trend and is highly cyclical or volatile.

The short-term sample with 180-day analysis shows a sixth-degree polynomial maintaining an R² of 27.21% and a third-degree polynomial that significantly improves its accuracy in this short timeframe, reaching an R² of 21.07%.

In the short term, price behavior is smoother and more predictable. The third-degree polynomial curve shows an exhaustion pattern from the last upward move, curving downward in the final observations.

Regarding the descriptive statistics and return structure:

Comparing both tables reveals a radical change in the asset's volatility regime. The applied econometric models generate the following direct price projections for the upcoming time horizons: the 30-day forecast shifts from 2.41 for the long term to 3.57 for the short term. Given that the current price is moving within the range of the most recent observations, the short-term projection (3.57) is methodologically more robust and consistent with the immediate market reality.

The 90-, 180-, and 360-day projections show a downward trend in both models. The short-term model projects a moderate decrease of 3.44. At 360 days, the short-term projection falls to 3.30, while the long-term projection drops to 1.01 (dragged down by the historical bias of the longer series).

The polynomial algorithm detects that the asset has entered a distribution or mild correction phase in the short term, pointing to a slow downward bias toward the $3.30 area.

The data incorporated in the central section reveals a complex corporate financial situation from a value investing perspective:

The 3-year return is sharply negative (-32.38%), which contrasts sharply with the recent 180-day return, which is positive (+7.79%). This suggests that the asset is emerging from a prolonged bear market.

The operating ratios are negative, with a ROA of -3.5% and a ROE of -3.7%, indicating that the company is currently destroying value with its assets and equity.

The Price-to-Earnings Ratio (P/E) stands at -21.5x. A negative P/E ratio confirms that the company is posting net losses (Net Income of -€6.915M versus Total Revenue of €7.656M).

The price-to-book ratio is 1.7x, a moderate valuation, but one that requires a turnaround in earnings to be sustained.

The beta (-0.23) is a highly relevant metric. Being negative, it indicates that AXG behaves countercyclically with respect to the benchmark market; it tends to rise when the market falls and vice versa.

The Gross Profit Margin is extremely high (92.30%). This is typical of technology, software, or biotechnology companies. The problem lies in the fact that operating and financial expenses absorb this entire margin, pushing net income into negative territory. Diagnostic Conclusions

1. Technical Perspective: The asset has overcome its period of extreme volatility (4.35 standard deviation) and has entered a consolidation phase around $3.60. Regression curves suggest that the recent upward momentum is waning, with a subtle corrective trend toward $3.30 expected in the coming months.

2. Fundamental Perspective: AXG has an excellent core business model with a gross margin of >92% but suffers from net inefficiency or is in an early stage of growth/restructuring (negative earnings and ROE). Its negative beta (-0.23) makes it an interesting asset solely as a stochastic hedge in diversified portfolios against declines in the overall market.