在指数层面波动相对温和的表象之下,个股隐含波动率仍然高企。在当前低相关性环境中,个股走势更加独立,即使这些波动在指数层面相互抵消,个股层面的波动率依然居高不下。板块轮动和公司特定催化剂正推动这种分化,随着投资者寻找证据表明大规模人工智能(AI)投资开始转化为营收增长和回报改善,财报表现变得尤为重要。
表面之下的收益机会:股票波动与信用错位
在个股波动加剧中寻找机会
指数波动平淡掩盖了个股波动加剧
资料来源:彭博。截至20,年2026月。
VIX=芝加哥期权交易所波动率指数。VIXEQ=芝加哥期权交易所标普500成分股波动率。VIX通常被称为“恐惧指数”,衡量市场基于标普500指数期权对30天波动率的预期。指数不受管理,投资者无法直接投资于指数。指数不包含费用、支出或销售费用。
这为通过股票挂钩票据(ELN)创造额外收益提供了一个有吸引力的切入点。股票挂钩票据可以提高收益机会,提供资本增值机会,并扩大投资范围,使我们能够有选择性地接触包括人工智能在内的市场主题。
把握投资级(IG)市场中的精选错位机会
与此同时,随着人工智能投资周期重塑企业债务融资市场,投资级信用领域也出现了另一个机会。Alphabet、Meta、Microsoft、Amazon和Oracle等超大规模企业因人工智能相关资本支出迅速扩张,导致公司债发行量显著增加,其中包括较长期限的债券。大规模发行有时会超过投资者需求,推动利差走阔,并迫使发行人提供更高的票息。
超大规模企业债务发行量随AI支出加速而大幅上升
资料来源:彭博。截至20,年2026月。代表亚马逊、Alphabet(谷歌)、Meta、微软和甲骨文发行的以美元计价的投资级公司信用债总量。
这种重新定价更多是技术性而非基本面因素所致,我们的关注点集中在资产负债表强劲、信用评级高且现金生成能力显著的投资级超大规模企业身上。其部分长久期曲线上的利差交易水平更接近于评级较低的信用债。在某些领域,尽管信用风险存在实质差异,投资级收益率已接近高收益水平,而更广泛的投资级利差和信用波动性仍相对受控。
投资级超大规模企业收益率超越投资级企业债券收益率
资料来源:彭博。截至 18, 年 2026 月。超大规模企业混合收益率代表亚马逊、Alphabet(谷歌)、Meta、微软和甲骨文的等权重混合。对每个发行人,一只 10 年期债券和一只 30 年期债券等权重配置。投资级企业债券由彭博美国企业债券指数代表。指数未管理,投资者无法直接投资于指数。指数不包含费用、支出或销售收费。
对于收益型投资者而言,这创造了增持高质量债券的诱人机遇。短期超大规模企业债券仍相对利差较窄,而长期债券则提供更有意义的收益率、票息和利差。因此,我们有机会以较低价格买入高质量信用债并锁定更高票息——利用供应驱动的错位来增加收益——而不必大幅增加基础信用风险。
多元化的多重收益来源
我们认为,当前的市场环境凸显了跨资产类别、行业和证券分散投资的价值。灵活且动态的方式使我们能够在广泛的机会集中追求收益,同时保持对资本增值和增长的强烈关注。通过利用投资组合中多种收益来源,我们可以随着市场环境的变化进行调整,同时保持对风险承担方式和地点的选择性。
所有投资均涉及风险,包括可能损失本金。指数不进行主动管理,投资者无法直接投资于指数。指数不包含费用、开支或销售费用。
在不同策略、资产类别和投资之间分配资产可能无法证明有利或产生预期结果。
多元化并不保证盈利或避免亏损。
股票证券面临价格波动和可能损失本金的风险。投资于股票挂钩票据通常具有与其基础证券相似的风险,可能包括管理风险、市场风险以及适用的外国证券和货币风险。
固定收益证券涉及利率、信用、通胀和再投资风险,以及可能损失本金的风险。随着利率上升,固定收益证券的价值会下降。低评级、高收益债券面临更大的价格波动、流动性不足和违约可能性。
本文引用的任何公司和/或案例研究仅用于说明目的;任何投资可能或可能不目前由富兰克林邓普顿管理的任何投资组合持有。所提供的信息不构成对任何特定证券、策略或投资产品的推荐或个性化投资建议,也不代表富兰克林邓普顿管理的任何投资组合的交易意图。
完整英文原文
Finding Opportunities Amid Elevated Single-Stock Volatility
Beneath relatively muted index-level volatility, single-stock implied volatility remains high. In today’s low-correlation environment, individual stocks are moving more independently, keeping single-name volatility high even as those moves offset at the index level. Sector rotation and company-specific catalysts are contributing to that dispersion, with earnings becoming particularly important as investors look for evidence that significant artificial intelligence (AI) investment is beginning to translate into revenue growth and improved returns.
Muted Index Volatility Masks Increased Single-Stock Volatility
Source: Bloomberg. As of August 20, 2026.
VIX=Cboe Volatility Index. VIXEQ=Cboe S&P 500 Constituent Volatility. Often called the "fear gauge," the VIX measures the market's expectation of 30-day volatility based on S&P 500 index options. Indexes are unmanaged and one cannot directly invest in them. They do not include fees, expenses or sales charges.
This creates an attractive entry point for generating additional income through equity linked notes (ELNs). Equity linked notes can improve the income opportunity, provide for capital appreciation opportunities, and expand the investment universe giving us selective exposure to market themes, including AI.
Capitalizing on Select Dislocations Across the Investment-Grade (IG) Market
At the same time, a separate opportunity has developed in IG credit as the AI investment cycle reshapes corporate debt financing markets. The rapid expansion of AI-related capital spending by hyperscalers such as Alphabet, Meta, Microsoft, Amazon and Oracle has contributed to a significant increase in corporate debt issuance, including longer-maturity bonds. Heavy issuance has at times outpaced investor demand, pushing spreads wider and requiring issuers to offer higher coupons.
Hyperscaler Debt Issuance Rises Sharply as AI Spending Accelerates
Source: Bloomberg. As of August 20, 2026. Represents aggregate US-dollar denominated investment-grade corporate credit issuance by Amazon, Alphabet (Google), Meta, Microsoft and Oracle.
This repricing appears more technical than fundamental and our focus is on IG hyperscalers that have maintained strong balance sheets, high credit ratings and significant cash-generation capacity. Parts of their long-dated curves are trading at spreads more typical of lower-rated credit. In some areas, IG yields have moved close to high-yield levels despite materially different credit risk, while broader IG spreads and credit volatility remain relatively contained.
Investment-Grade Hyperscaler Yields Outpace Investment-Grade Corporate Yields
Source: Bloomberg. As of August 18, 2026. Hyperscaler blended yield represents an equal-weighted blend of Amazon, Alphabet (Google), Meta, Microsoft and Oracle. For each issuer, one 10-year bond and one 30-year bond are equally weighted. Investment-grade corporate represented by the Bloomberg US Corporate Bond Index. Indexes are unmanaged and one cannot directly invest in them. They do not include fees, expenses or sales charges.
For income investors, this creates an attractive opportunity to add to high-quality bonds. Short-dated hyperscaler bonds remain relatively tight, while the long end offers more meaningful yield, carry and spread. We therefore have the potential to buy high-quality credit at lower prices and lock in higher coupons—using supply-driven dislocations to add income—without necessarily taking on materially greater fundamental credit risk.
Diversified Across Multiple Sources of Income
We believe the current market environment highlights the value of diversification across asset classes, sectors and securities. A flexible and dynamic approach allows us to pursue income across a broad opportunity set while maintaining a strong focus on capital appreciation and growth. By drawing on multiple sources of income across the portfolio, we can adapt as market conditions evolve while remaining selective in how and where we take risk.
All investments involve risks, including possible loss of principal. Indexes are unmanaged and one cannot directly invest in them. They do not include fees, expenses or sales charges.
The allocation of assets among different strategies, asset classes and investments may not prove beneficial or produce desired results.
Diversification does not guarantee a profit or protect against a loss.
Equity securities are subject to price fluctuation and possible loss of principal. Investments in equity-linked notes often have risks similar to their underlying securities, which could include management risk, market risk and, as applicable, foreign securities and currency risks.
Investments in equity-linked notes often have risks similar to their underlying securities, which could include management risk, market risk and, as applicable, foreign securities and currency risks.
Fixed income securities involve interest rate, credit, inflation and reinvestment risks, and possible loss of principal. As interest rates rise, the value of fixed income securities falls. Low-rated, high-yield bonds are subject to greater price volatility, illiquidity and possibility of default.
Any companies and/or case studies referenced herein are used solely for illustrative purposes; any investment may or may not be currently held by any portfolio advised by Franklin Templeton. The information provided is not a recommendation or individual investment advice for any particular security, strategy, or investment product and is not an indication of the trading intent of any Franklin Templeton managed portfolio.
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关键论点
- 尽管指数波动率低迷,个股隐含波动率仍高,为ELN创造机会。
- 超大规模企业的AI相关资本支出导致IG债券发行量大增,利差扩大并提供更高票息。
- IG信用的重新定价是技术性的而非基本面性的,投资者可以折价买入优质债券。
- 长期限超大规模企业债券比短期限提供更多收益率和利差。
- 灵活的多资产策略对捕捉收益和管理风险至关重要。
风险
- 股票挂钩票据承担与标的股票类似的风险,包括市场风险。
- 固定收益证券面临利率、信用、通胀和再投资风险。
- 高收益债券波动性和违约风险更大。
- 大量发行可能继续压利率差。
- AI投资可能无法转化为预期的收入增长。