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Investment Theses Deckers Outdoor (DECK) – 18% Trading at 15x earnings after a 50% decline, Deckers offers two dominant brands (UGG, HOKA) with net cash and $2.5B buyback capacity at a cyclical low point. International expansion and trail/hiking category growth will re-accelerate revenue by year-end as tariff mitigation strategies prove effective and brand strength transcends macro headwinds. Apollo Global Management (APO) – 16% At 21x earnings, Apollo provides exposure to the highest-quality alternative asset manager with permanent capital and strong fundraising momentum in a consolidating industry. Fee-related earnings growth will accelerate through new fund launches while capital markets recovery drives incentive fee upside, outperforming traditional financials. Xiaomi (XIACY) – 15% Xiaomi trades at 23x earnings, 30% below DCF fair value, offering a 500M-device ecosystem with 13.6% global smartphone share and emerging EV optionality at a discount. As IoT margins expand and geopolitical fears subside, the stock will re-rate toward peer multiples, capturing both earnings growth and multiple expansion by year-end. Comcast (CMCSA) – 14% Comcast's 4.7x P/E reflects structural concerns but ignores robust free cash flow generation and a 4.3% dividend yield that provides downside protection at current levels. Broadband stabilization and Peacock losses narrowing will drive multiple re-rating as investors recognize the resilient cash-generating core business by December 2026. Visa (V) – 12% Visa's 34x P/E premium is justified by its unassailable network moat, with payments volume growing mid-teens and operating margins exceeding 65%. Continued digitization of global commerce and cross-border recovery will sustain earnings growth above 15%, supporting valuation through year-end. Verisk Analytics (VRSK) – 10% Verisk's 34.6x P/E reflects its proprietary insurance datasets with high switching costs and best-in-class margins that create a defensible competitive position. P
Stammdaten
WF0KANTE26
12.01.2026
-
100,0
Anlageuniversum

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