This stock market index
represents the most actively traded companies listed on the Colombian Stock
Exchange (BVC), but most Colombian companies are experiencing a downward trend,
and I don't understand why the index appears to be rising. Therefore, it is
important to request that you conduct a historical study covering the past 15
years and project it over six, twelve, and 360 months to verify the future
behavior of this index.
Since 2010, the COLCAP index
has registered volatile annual returns: +33.42% in 2010, -13.83% in 2011, and
+16.62% in 2012, but also declines such as -23.75% in 2015 and -13.51% in 2020
due to the pandemic. Despite bearish years for 60-70% of Colombian companies,
the index grew due to its concentration in highly liquid blue-chip stocks and a
post-2020 recovery, surpassing 2,112 points in December 2025 with an annualized
return of +53.42%. Recent data shows
daily fluctuations, such as a -0.15% drop to 2,112.70 points on December 5th. Investing
Morgan Stanley projects the
COLCAP at 2,280 points by the end of 2026 (baseline scenario, +10% in local
currency), with a potential rise to 2,700 (bullish) or fall to 1,800 (bearish)
depending on fiscal policy and elections. Trading Economics estimates 2,097
points in 3 months and 1,901 in 12 months, reflecting the post-record
moderation. Reliable 360-month (30-year) projections are unavailable due to
extreme macroeconomic uncertainty; historical trends suggest cyclical
volatility influenced by commodities and reforms.
The descriptive statistics
table provides an in-depth view of the COLCAP index price distribution over the
study period.
The comparative analysis of the mean, median, and
mode is crucial for understanding the shape of the COLCAP price distribution:
Since the mode is greater than the mean and the
median, the price distribution exhibits a negative skewness of -0.65.
The distribution curve is elongated to the left (the
tail is longer on the left). This means that the highest frequency of
observations (the mode) is found at higher values than the average (the
stocking).
Importance of Skewness and Kurtosis
The skewness at -0.654 and the kurtosis at -1.118 are
essential for investment risk management. A negative skew, such as the one observed, indicates that
extreme negative returns (losses) are more likely than extreme positive returns
(gains) of the same magnitude, compared to a normal distribution.
An
investor is risk-averse, so a negatively skewed distribution suggests a higher
probability of significant "jumps" (drops) to the left, a factor to
consider when assessing the probability of significant losses. Kurtosis
measures the degree of "peakiness" of the distribution compared to
the normal distribution (0 for a normal distribution). The value is −1.118, or
platykurtic. Negative kurtosis
means the distribution is flatter than the normal distribution normal. En
términos de inversión, esto implica, menos
probabilidad de valores extremos (colas delgadas), es menos probable observar
movimientos de precios extremadamente grandes (tanto ganancias como pérdidas)
en comparación con un activo que siga una distribución normal. La probabilidad
se distribuye de manera más uniforme en el centro.
La curtosis baja sugiere que
el índice no presenta el clásico "riesgo de cola" (alto
riesgo de eventos extremos raros) que a menudo se asocia con los mercados
financieros, lo cual es positivo para la estabilidad percibida del activo.
Los gráficos adjuntos muestran
la evolución del índice COLCAP y las líneas de tendencia, El índice COLCAP
muestra un crecimiento del 53.73% durante el periodo de 15 años. El
modelo lineal (polinomial de orden 1) tiene una correlación (R2)
muy baja (0.17%). Esto se refleja en la línea recta en el gráfico, que apenas
logra capturar la fluctuación real del índice. Su baja correlación (41.26%) indica
que el COLCAP no tiene un comportamiento lineal simple.
El histograma (con su polígono de frecuencias) es una herramienta visual clave para corroborar la forma de la distribución, el gráfico muestra una curva que se desvía notablemente de una campana de Gauss perfectamente simétrica (la distribución normal). El pico está desplazado hacia la derecha (valores más altos), y la cola izquierda parece más larga, lo que confirma visualmente el sesgo negativo o less than 0 and the platykurtic distribution (K<0) found in the calculations.
This chart indicates that
financial models assuming normality of returns (such as the Black-Scholes model
for options) would be inappropriate or inaccurate for the COLCAP, as its prices
do not follow a normal pattern, requiring a more sophisticated risk analysis.
The high Standard Deviation
(207.52) and wide Range (1,221.93) indicate that the COLCAP is a volatile
asset. The index has experienced 53.73% growth over 15 years, demonstrating
long-term historical profitability.
The tail analysis indicates a
higher probability of significant drops than of equally large spikes, while the
platykurtic kurtosis indicates a lower probability of "black swan
events" (extremely rare tail events) than in a normal distribution.
Based on statistical and
econometric analysis, the last recorded price (2,112.70) is the all-time high
(mode) and is significantly above the mean (1,473.10) and the median
(1,469.04).
Investing at the current
price, which is the highest point in the sample's history, presents a
significant risk of a downward correction. Short- and medium-term forecasts suggest a reversion
to the mean, implying declines toward values closer to the historical
average.
If you are a long-term investor, you should be aware that the 53.73% growth history suggests that the index is profitable in the long run, but this is not the optimal entry point. It would be prudent to wait for a significant correction (price drop) before entering the market The price closest to the historical average or key support levels.
If you are a short-term investor (trader), entering
at all-time highs is very risky due to the imminent correction anticipated by
forecasts and high volatility. The best strategy would be to stay on the
sidelines or consider short positions (assuming the risk of a rebound and
volatility).
Technical
analysis focuses on studying price action, using tools such as moving averages
and indicators to project future direction.
The
signal is unanimous and unequivocal; all 12 moving averages (from MA5 to MA200,
both simple and exponential) are generating a buy signal. Since the current
price of $2,112.70, according to the chart above, is above all the listed
moving averages (whose values range between $2,036.20 and $2,107.22), this
confirms a strong and solid short-, medium-, and long-term upward trend. The
moving averages act as dynamic support levels.
The
overall summary remains "Strong Buy" due to the majority of buy
signals, but the presence of contrarian signals introduces the aforementioned
uncertainty.
The RSI and MACD (momentum indicators) are in buy,
supporting the trend. However, fast oscillators like the STOCH and Ultimate
Oscillator are in neutral or sell, signaling that the upward momentum is
slowing and a short-term correction could be imminent, which aligns with their
overbought warning.
The probability chart shows that it has already
reached a cumulative probability p of 99.90%, indicating that It's a good
stock, but it's currently in a cautious position.
The cumulative probability of 99.90% means that the
current price ($2,112.70) is at the 99.9th percentile of the entire price
history. Virtually 99.9% of past prices have been lower than the current price.
This corroborates the statistical analysis; the index is at an all-time high
within the sample. While a high price might indicate a "good stock"
(high perceived value), from a statistical risk perspective, this position is
extremely cautious. The probability of the price retracing to the 1,473 moving
average is much higher than the probability of it continuing to rise at this
rate.
The integration of technical and statistical analysis
gives us a picture of a strong trend versus an extreme risk of correction.
The moving averages and momentum indicators (MACD,
RSI) confirm that the underlying trend is strongly bullish. In a market that
only follows the trend, the signal is BUY. The price is at the 99.9% of its
historical range. Forecasts suggest a mean reversion. Sensitive technical
indicators (STOCH, Ultimate Oscillator) are suggesting that bullish momentum is
waning and a correction is imminent.
Despite strong buy signals from moving averages, the
fact that the price is at a statistical extreme (99.9th percentile) and that
the overbought signal has been triggered by some oscillators implies that the
risk of a sudden drop or a deep correction is extremely high.
The current price does not offer a margin of safety.
Investing now means buying at the historical high, assuming the risk of mean
reversion.
The most prudent position is neutrality and waiting;
avoid investing at this time. It is recommended to wait for the price to test
the dynamic support levels (the moving averages, especially the 20-day or
50-day moving averages, which are near $2,103 - $2,085).
Investment should only be made if the index corrects
(falls) and then bounces (resumes the upward trend) off one of these support
levels, demonstrating that the uptrend is resuming from a safer price level
with less statistical risk.
There
is a dichotomy in the projections. The Trading Economics model suggests an
expected correction (down to $1,901), while Morgan Stanley projects continued
but conditional growth. Given the current extreme position ($2,112.70), the
risk of a correction (Trading Economics signal) is considered more likely in
the short term. The long-term historical return, with a growth of 53.73%,
suggests that, despite volatility, investing in the index will be positive if
the historical trend of the country's largest companies continues.
The
neutral and wait-and-see recommendation is the most robust, as it mitigates the
risk of a short- and medium-term correction, allowing for a future entry at
price levels closer to $2,085 - $2,103 (dynamic support levels MA20/MA50).



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