| 研究生: |
李瀚陞 Li, Han-Sheng |
|---|---|
| 論文名稱: |
SPX 選擇權曲面能否預測 VIX 選擇權風險溢酬? Does the SPX Option Surface Predict VIX Option Risk Premia? |
| 指導教授: |
林士貴
LIN,SHIH-KUEI |
| 口試委員: |
林士貴
LIN, SHIH-KUEI 廖四郎 Liao, Szu-Lang 林建秀 Lin, Chien-Hsiu 陳亭甫 Chen, Ting-Fu |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 金融學系 Department of Money and Banking |
| 論文出版年: | 2026 |
| 畢業學年度: | 114 |
| 語文別: | 英文 |
| 論文頁數: | 46 |
| 中文關鍵詞: | VIX 選擇權 、Delta 避險報酬 、選擇權隱含偏度 、報酬可預測性 、Bakshi--Kapadia--Madan 動差 |
| 外文關鍵詞: | VIX options, delta-hedged returns, option-implied skewness, return predictability, Bakshi--Kapadia--Madan moments |
| 相關次數: | 點閱:28 下載:0 |
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本文探討 SPX 選擇權曲面所隱含的資訊,是否能預測 VIX 選擇權市場中的風險溢酬。由於 VIX 本身即由 SPX 選擇權價格建構而成,本文進一步檢驗 SPX 選擇權曲面中的資訊是否僅反映於 VIX 水準,或亦能預測 VIX 選擇權的未來 delta-hedged returns。本文建構六個 VIX 選擇權價性區間下的一個月與六個月 bucket-month delta-hedged returns,並測試六項 SPX option-implied predictors,包括 CBOE SKEW、SVIX2、SPX variance risk premium,以及 Bakshi–Kapadia–Madan risk-neutral variance、skewness 與 kurtosis。實證設計進一步控制 VIX、VVIX、VIX futures basis、term-structure slope 與落後一期 VIX futures return,並於各預測期間內採用 Benjamini–Hochberg 與 Holm–Bonferroni 方法處理多重檢定問題。實證結果顯示,SPX 選擇權資訊對 VIX 選擇權風險溢酬的預測力並非全面存在,而是集中於六個月期間下的 BKM risk-neutral skewness。相較之下,CBOE SKEW 與 SPX variance risk premium 在控制 VIX 市場狀態後不再保留穩定的增量預測力。進一步透過將 BKM risk-neutral skewness 與 CBOE SKEW 指數同時納入迴歸模型的 horse-race specification,本文發現 BKM risk-neutral skewness 所包含的資訊並非 CBOE SKEW 指數可以完全概括。整體而言,本文指出 SPX 選擇權曲面的分配形狀資訊,特別是 model-free risk-neutral skewness,對 VIX 選擇權風險溢酬具有增量預測內容。
I ask whether information in the SPX option surface forecasts risk premia in the VIX option market, using bucket-month delta-hedged returns on VIX options across six moneyness buckets and two horizons. Because VIX options are among the most direct traded claims on equity-market volatility, identifying what predicts their risk premia helps clarify how information in the equity-option surface is transmitted into the volatility-derivatives market. I find that the predictive content of SPX option-implied information is concentrated in model-free risk-neutral skewness rather than in standard off-the-shelf summary indices, and that this concentration survives a set of in-sample robustness checks and construction-sensitivity tests, including a horse-race specification that jointly includes BKM risk-neutral skewness and the CBOE SKEW index.
The empirical design follows Park (2015), extended to a hold-to-expiration setting in which the terminal option value coincides with the SOQ-settled payoff and the maturity-matched VIX futures contract is the static hedging instrument. Six SPX option-implied predictors are tested under Benjamini–Hochberg and Holm–Bonferroni correction within horizon-specific 36-test families, with progressively richer vol-market state controls.
CBOE SKEW and the variance risk premium lose significance once VIX, VVIX, and the VIX futures term structure are jointly controlled; BKM risk-neutral skewness retains stable BH-significant slopes in three middle-moneyness buckets, with magnitudes that remain stable across sub-period splits, with March 2020 excluded, under NW(12) inference, under open-interest weighting, and in the horse-race specification against the CBOE SKEW index. The single Holm-significant cell, SVIX2(180d) × OTM put, reflects a numerical amplification associated with its 0.90 correlation with the VIX level; the vol-state-orthogonal component of SVIX2 retains a smaller robust effect concentrated in the post-COVID sub-period.
1 Introduction 1
2 Literature review 4
2.1 Option-implied information and expected returns 4
2.2 Option return predictability and delta-hedged returns 5
2.3 VIX options and volatility derivatives 6
3 Data and methodology 8
3.1 Data sources and sample construction 8
3.2 Delta-hedged returns: construction and aggregation 10
3.3 Predictors and vol-market state controls 12
3.4 Statistical inference and reporting policy 13
4 Empirical results 15
4.1 The cross-section of VIX option delta-hedged returns 15
4.2 Univariate predictability: where does the signal live? 17
4.3 Incremental content beyond vol-market state 18
4.4 BKM Q-skewness versus the CBOE SKEW index 20
4.5 Economic magnitude 22
4.6 Auxiliary explanatory decomposition 23
4.7 Robustness 24
4.8 Summary of empirical findings 26
5 Conclusion 28
References 29
A Data sources and predictor construction details 32
B Macroeconomic and vol-market benchmark family 36
C Additional robustness 37
D Additional figures 43
E Power-limited out-of-sample diagnostic 46
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全文公開日期 2031/07/19