SPDR SAMPP Telecom Etf Performance

XTL Etf  USD 186.36  -0.30  -0.16%   
The etf owns a Beta (Systematic Risk) of 1.31, which means a somewhat significant risk relative to the market. As the market goes up, the ETF is expected to outperform it. However, if the market returns are negative, SPDR SAMPP will likely underperform.
Risk-Adjusted Performance
Constructive
 
Weak
 
Strong
Compared with the broader market, risk-adjusted returns on SPDR SAMPP Telecom rank lower than 18% of all global equities and portfolios over the last 90 days. This score becomes more useful when investors compare it with downside risk, Sharpe Ratio, and current trend stability. Despite quite abnormal basic indicators, SPDR SAMPP disclosed solid returns over the last few months and may actually be approaching a breakup point. Learn More

Relative Risk vs. Return Landscape

If you had invested $ 14,380 in SPDR SAMPP Telecom on December 17, 2025 and sold it today you would have earned a total of $ 4,256 from holding SPDR SAMPP Telecom or generated 29.6% return on investment over 90 days. SPDR SAMPP Telecom is generating a 0.4444% daily return assuming volatility of 1.9483% on return distribution over 90 days investment horizon. In other words, 17% of etfs are less volatile than SPDR, and above 92% of all equities are expected to generate higher returns over the next 90 days.
  Expected Return   
       Risk  
This market-relative note looks at return potential and the amount of risk required to get it. It is intended to show how efficiently risk has translated into return over the selected horizon. Considering the 90-day investment horizon SPDR SAMPP is expected to generate 2.43 times more return on investment than the market. However, the ETF is 2.43 times more volatile than its market benchmark. It trades about 0.23 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.04 per unit of risk.

Historical Prices of SPDR SAMPP Telecom

Below is the normalized historical share price chart for SPDR SAMPP Telecom extending back to January 27, 2011. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of SPDR SAMPP stands at 186.36, as last reported on the 17th of March 2026, with the highest price reaching 186.36 and the lowest price hitting 186.36 during the day.
Macro event markers
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes

Target Price Odds to finish over Current Price

Price forecasting for SPDR Etf often builds on the principle of mean reversion, where prices tend to converge toward historical averages. While this pattern is broadly applicable across ETFs, persistent mispricings in some instruments highlight the role of additional risk factors in pricing dynamics.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
186.36 90 days 186.36
about 7.44
Based on probability analysis of this ETF, the likelihood of SPDR SAMPP moving above the current price in 90 days from now is about 7.44 (This ETF probability distribution maps the expected range of SPDR Etf prices over 90 days).
Considering the 90-day investment horizon the etf has the beta coefficient of 1.31 . This entails as the benchmark fluctuates upward, the ETF is expected to outperform it on average. However, if the benchmark returns are projected to be negative, SPDR SAMPP will likely underperform. Additionally, SPDR SAMPP Telecom has an alpha of 0.3434, implying that it can generate a 0.3434 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   SPDR SAMPP Price Density   
       Price  

Predictive Modules for SPDR SAMPP

No single forecasting method can reliably predict the ETF market, but the practice of applying multiple models to instruments like SPDR SAMPP Telecom remains a core element of investment analysis. Comparing results helps investors build a more complete picture and prepare for a range of potential outcomes.
The degree to which SPDR SAMPP's exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
Hype
Prediction
LowEstimatedHigh
184.21186.16188.11
Details
Intrinsic
Valuation
LowRealHigh
167.72197.75199.70
Details
Naive
Forecast
LowNextHigh
182.17184.12186.06
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
161.27178.63195.99
Details
Before investing in SPDR SAMPP, assess how SPDR SAMPP's compares to its competitive peer group. A company that appears undervalued in absolute terms may be fairly priced when measured against sector-relative benchmarks.

Primary Risk Indicators

Over the past 10-20 years, the etf market has seen violent swings that have tested investor resolve. SPDR SAMPP has been part of this volatility. Those holding SPDR SAMPP Telecom should consider a hedging strategy that accounts for SPDR SAMPP's changing volatility and market elasticity to limit downside losses.
α
Alpha over Dow Jones
0.34
β
Beta against Dow Jones1.31
σ
Overall volatility
13.07
Ir
Information ratio 0.16

Investor Alerts and Insights

ETFs like SPDR SAMPP can experience rapid changes in technical and fundamental conditions. Setting up alerts for SPDR SAMPP Telecom ensures investors receive timely notifications about significant developments that may affect their positions.
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The fund keeps 99.83% of its net assets in stocks

SPDR SAMPP Fundamentals Growth

SPDR SAMPP's revenue trajectory, earnings quality, and financial leverage are the key fundamentals that drive SPDR Etf market valuation. Investors who track these metrics gain a clearer view of the forces shaping SPDR Etf price behavior.

Performance Metrics & Calculation Methodology

SPDR SAMPP performance is typically evaluated relative to its benchmark and tracking difference over time. Risk-return balance shapes allocation context across cycles.

Unless otherwise specified, data for SPDR SAMPP Telecom is compiled from fund disclosures and market reference feeds and standardized for comparability. Updates may occur throughout the day. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board
Last reviewed on February 28th, 2026