Is IAE or IDE more undervalued in 2026?

CirclFi compares Voya Asia Pacific High Dividend (IAE) and Voya Infrastructure, Industrial (IDE) using 13 institutional-grade valuation models. IAE has a Quality of Company score of 1.7/10 while IDE scores 1.8/10.

Which is a better buy — IAE or IDE?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do IAE and IDE valuations compare?

IAE at $8.60 and IDE at $13.96 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

IAE vs IDE Valuation Comparison 2026 — Intrinsic Value Analysis

IAE

Asset Management

Voya Asia Pacific High Dividend

Quality

1.7

out of 10

Value Trap

—

Price

$8.60

Last close

Models

6/13

Active

IDE

Asset Management

Voya Infrastructure, Industrial

Quality

1.8

out of 10

Value Trap

—

Price

$13.96

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	IAE Fair Value	IAE Upside	IDE Fair Value	IDE Upside
Bayesian DCF	Intrinsic	$2.28	-73.5%	$3.70	-73.5%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
Markov DDM	Intrinsic	$8.26	+1.1%	$10.49	-24.9%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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IAE vs IDE — Which Stock Is More Undervalued?

IDE scores higher with a 1.8/10 quality rating vs IAE's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Voya Asia Pacific High Dividend (IAE) and Voya Infrastructure, Industrial (IDE) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

IAE currently trades at $8.60 with a QOC of 1.7/10, while IDE trades at $13.96 with a QOC of 1.8/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).