A behavioural explanation to the asymmetric volatility phenomenon: Evidence from market volatility index

2017 ◽  
Vol 35 ◽  
pp. 66-81 ◽  
Author(s):  
Pratap Chandra Pati ◽  
Prabina Rajib ◽  
Parama Barai
Keyword(s):  
Market Volatility ◽  
Asymmetric Volatility ◽  
Volatility Index

Creating Value in Small-cap Firms by Mitigating Risks of Market Volatility

2017 ◽  
Vol 21 (4) ◽  
pp. 350-355 ◽  
Author(s):  
Sayantan Khanra ◽  
Sanjay Dhir
Keyword(s):  
Stock Exchange ◽  
Emerging Market ◽  
Market Volatility ◽  
Emerging Market Economies ◽  
Financial Returns ◽  
Market Economies ◽  
Volatility Index

Extant research has explored numerous ideal approaches to predict and anticipate the unpredictability in stocks to mitigate business risks. This article attempts to offer an important insight on creating values in terms of financial returns dodging the risks associated with the market volatility in emerging market economies by exploring the context of National Stock Exchange (NSE), India. The study establishes that Small-cap companies, which are included in NSE Small 100 index, are less inclined to be impacted by the market volatility index (NVIX) compared to the Large-cap companies and Mid-cap companies that are under respective Broad Market Indices. Furthermore, this article examines 64 Small-cap companies, belonging to nine different sectors, to investigate the sector-wise impact of market volatility on Small-cap businesses in India.

scholarly journals Global Volatility Spillover in Asian Financial Markets

2018 ◽  
Vol 9 (2) ◽  
pp. 109-116 ◽  
Author(s):  
Muhammad Ishfaq ◽  
Zhang Bi Qiong ◽  
Awais ur Rehman
Keyword(s):  
Exchange Rate ◽  
Financial Markets ◽  
Market Volatility ◽  
Impulse Response Functions ◽  
Vector Autoregressive ◽  
Volatility Index ◽  
The Usa ◽  
Exchange Markets ◽  
Global Investors ◽  
Exchange Rate Markets

AbstractThe present paper accommodates the spillover impact of market volatility index of S & P 500 (VIX) and China exchange-traded fund’s volatility (VXFXI) on the emerging equity (KSE-100 index) and foreign exchange markets of Pakistan. In this context, we use a vector autoregressive (VAR) model and impulse response functions (IRF) to explore link among VIX indices and financial markets of Pakistan for the differential time periods. The study concludes that a rise in both VIX and VXFXI results in price falls of KSE-100 index and deteriorates exchange rate market. This implies that VIX act as ‘fear gauge’ on both stock and exchange rate markets in Pakistan. These outcomes provide an imperative implication on the pattern of currency and stock sensitivities against global volatility. This reveals that adverse movements in global volatility in the USA and Chinese financial market have a significant impact and a rise in VIX causes an outflow of investment from financial markets of Pakistan. Moreover, our results may guide local and global investors to anticipate the potential direction of stock and exchange rate markets based on market volatility index.

scholarly journals Behind the Volatility Index Levels: The Paradox of 2016

2017 ◽  
Vol 1 (1) ◽  
pp. 44
Author(s):  
G. D. Hancock
Keyword(s):  
Strong Evidence ◽  
Abnormal Returns ◽  
Investor Sentiment ◽  
Market Volatility ◽  
Volatility Index ◽  
Daily Data ◽  
Vix Futures ◽  
Negative News ◽  
2016 Election ◽  
Time Periods

The low 2016 volatility index levels present a paradox in light of previous research suggesting periods of uncertainty and negative news events should reflect higher VIX levels. This study uses daily data for the VIX, VIX futures and the VVIX, to examine the information content of variations in the natural logarithmic changes in the index levels relative to 12 other parallel time periods encompassing 2004-2016. Straight-forward variation and predictive tests are constructed to determine signs of unusual market volatility behavior. The results reveal strong evidence of unusual volatility behavior during the 2016 election period, pocked by frequent periods of abnormal returns. The 2016 VIX levels alone are shown to be insufficient to draw conclusions regarding investor sentiment.

Volatility Spillover between the KOSPI 200 Spot and Futures Markets Using the VECM-DCC-GARCH Model

2011 ◽  
Vol 19 (3) ◽  
pp. 233-249
Author(s):  
Sang Hoon Kang ◽  
Seong-Min Yoon
Keyword(s):  
Information Flow ◽  
Futures Markets ◽  
Price Discovery ◽  
Spillover Effects ◽  
Spot Market ◽  
Futures Market ◽  
Market Volatility ◽  
Futures Contracts ◽  
Volatility Spillover ◽  
Asymmetric Volatility

This paper investigates the price discovery, volatility spillover, and asymmetric volatility spillover effects between the KOSPI 200 market and its futures contracts market. The investigation was performed using the VECM-DCC-GARCH approach. In the case of returns, we found a significant unidirectional information flow from the futures market to the spot market; this implies that the KOSPI 200 futures market plays an important role on the price discovery in the spot market. In addition, we found a strong bi-directional casualty involving the volatility interaction between the spot and futures markets; this implies that market volatility originating in the spot market will influence the volatility of the futures market and vice versa. We also found strong asymmetric volatility spillover effects between the two markets.

scholarly journals The U.S. Presidential Election 2012/2016 and Investors’ Sentiment: The Case of CBOE Market Volatility Index

SAGE Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 215824401986417
Author(s):  
Imlak Shaikh
Keyword(s):  
Stock Market ◽  
Presidential Election ◽  
Presidential Elections ◽  
Implied Volatility ◽  
Substantial Effect ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Volatility Index ◽  
Stock Market Performance ◽  
The U.S

Given that political events have substantial effect on new economic policies and economic performance of the country, this article aims to examine the behavior of the investors’ sentiment in terms of implied volatility index trailed by the U.S. presidential elections. The study empirically tests whether the presidential elections in 2012/2016 do contain the important market inclusive information to explain the expected stock market volatility. The findings indicate that investors’ concern was distracted around the presidential elections window, albeit the market performed identically in both the presidential election years. The significant fall in the implied volatility level (post-election period) is the calm before the storm, just wait and watch. The positive estimate uncovers the fact that investor worries were higher before the election day. In particular, the significant estimate of the presidential election debate shows that investors do regard the minutes of the presidential election debates in their portfolio selection. At the two elections era, on the candidacy of both the parties, the empirical result speaks marginally contrasting outcomes and falsifies the presidential election cycle hypothesis of past 29 U.S. election years. Empirical estimates conclude that the presidential elections in 2012/2016 have a strong, significant relationship with investor’s sentiment and stock market performance.

scholarly journals Volatility-of-Volatility Risk

2018 ◽  
Vol 54 (6) ◽  
pp. 2423-2452 ◽  
Author(s):  
Darien Huang ◽  
Christian Schlag ◽  
Ivan Shaliastovich ◽  
Julian Thimme
Keyword(s):  
Risk Factor ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Market Volatility ◽  
Market Prices ◽  
Volatility Risk ◽  
Option Returns ◽  
Model Free ◽  
Volatility Index ◽  
Index Option

We show that market volatility of volatility is a significant risk factor that affects index and volatility index option returns, beyond volatility itself. The volatility and volatility of volatility indices, identified model-free as the VIX and VVIX, respectively, are only weakly related to each other. Delta-hedged index and VIX option returns are negative on average and are more negative for strategies that are more exposed to volatility and volatility-of-volatility risks. Further, volatility and volatility of volatility significantly negatively predict future delta-hedged option payoffs. The evidence suggests that volatility and volatility-of-volatility risks are jointly priced and have negative market prices of risk.

The Information Content of Option-Based Forecasts of Volatility: Evidence from the Italian Stock Market

2013 ◽  
Vol 03 (01) ◽  
pp. 1350005 ◽  
Author(s):  
Silvia Muzzioli
Keyword(s):  
Stock Market ◽  
Value At Risk ◽  
Implied Volatility ◽  
Practical Importance ◽  
Trading Strategies ◽  
Market Volatility ◽  
Future Market ◽  
Market Returns ◽  
Policy Makers ◽  
Volatility Index

The aim of this paper is to comprehensively compare option-based measures of volatility, with the ultimate plan of devising a new volatility index for the Italian stock market. The performance of the different implied volatility measures in forecasting future volatility is evaluated both in a statistical and in an economic setting. The properties of the implied volatility measures are also explored, by looking at both the contemporaneous relationship between implied volatility changes and market returns and the usefulness of the proposed index in forecasting future market returns. The results of the paper are of practical importance for both policy-makers and investors. The volatility index, based on corridor measures, could be used to forecast market volatility, for value at risk purposes, in order to determine trading strategies on the underlying index and as an early warning for future market conditions.

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