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Understanding Negative Risk-Return Trade-offs

2022-01-14

Finance Webinar£¨2022- 03£©

Topic: Understanding Negative Risk-Return Trade-offs

Speaker: Aoxiang Yang , University of Wisconsin-Madison

Time: Monday, January 17,10:00-11:30 a.m. Beijing Time

Location: Zoom meeting room


Abstract£º

In the data, stock market volatility weakly or even negatively predicts short-run equity and variance risk premia, challenging traditional risk-return trade-offs at the heart of leading asset pricing models. I show that a puzzling negative volatility-risk premia relationship concentrates in high-uncertainty states, which occur about 20% of the time. While at other times, the relationship is strongly positive. I develop a micro-founded learning model in which investors underreact to structural breaks in high-volatility periods and overreact to transitory variance shocks in normal times. The model can successfully explain the novel time-varying volatility-risk premia relationship at short and long horizons. The model can further account for many other data features, such as a robust positive correlation between equity and variance risk premium, the leverage effect, and negative observations of equity and variance risk premia at the onsets of recessions or market distresses.


Biography

ÑîåÛÓÎ, Íþ˹¿µÐÇ´óѧÂóµÏÑ··ÖУ½ðÈÚѧ²©Ê¿(Minor in Econ)(2017-2022), ±±¾©´óѧ¹ú¼ÒÉú³¤Ñо¿Ôº¾­¼Ãѧ˶ʿ (2013-2016),Î÷°²½»Í¨´óѧ¾­¼Ãѧ±¾¿Æ(2009-2013)¡£ Ñо¿ÐËȤΪ×ʲú¶¨¼Û¡¢ÑÜÉúÆ·Êг¡ºÍºê¹Û½ðÈÚ¡£²©Ê¿Ê±´úºÍµ¼Ê¦ Bjorn Eraker ÏàÖúµÄÂÛ ÎÄ ¡°The Price of Higher-Order Catastrophe Insurance: The Case of VIX Options¡± ½ÒÏþÓÚ½ðÈÚѧ¶¥¼¶ÆÚ¿¯The Journal of Finance¡£¸ÃÂÛÎÄϵͳÐÔµØÑо¿ÁËVIX OptionÊÐ ³¡µÄ¶¨¼Û£¬ÒÔ¼° VIX Option ºÍ SPX Option Ö®¼äµÄÁªÏµ£¬²¢½¨ÉèÁËÒ»Ñùƽ³£Æ½ºâÄ£×ÓÀ´Ú¹ÊÍÕâ Щ·¢Ã÷¡£

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Your participation is warmly welcomed


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