Search results

Covid-19 sparked new interest in consumer financial resilience (CFR) amongst regulatory authorities, financial institutions, policymakers and the academia. No financial and health crisis has been worse than Covid-19, erasing the growth momentum of nations at all development stages. This study measures consumers' current financial resilience and future expectations within India's emerging market and its likely response to policy measures.

CFR is investigated using individual household data on economic state, employment, income and savings from the Reserve Bank of India's consumer confidence survey. The empirical approach is based on the temporal time-series data with mixed frequency regression. Consumers' current and future expectation indices appear as the regressand, whereas credit-deposit ratio, credit outstanding, number of bank accounts and digital transactions act as main regressors.

The response of consumers' current situation is 3.50 times higher than that of their future expectations. This implies that a rise in the credit-deposit ratio and credit line positively affects CFR. In contrast, a higher number of bank accounts, a proxy for financial inclusion, adversely affect consumer's well-being possibly owing to the government's failure to provide financial support through banking networks. Digital payments (value) positively affect consumers' current situation and future expectations.

The results of this study inform policy formulation for enhancing financial resilience. Consumer sentiment index acts as a proxy for CFR.

Financial resilience is a concern for policymakers. This study is one of the first studies linking CFR with financial inclusion, credit creation and digital financial capability.

Market volatility is subject to good or bad news and even responses to fake news and policy changes. In this piece of work, the authors consider the effects of the recent COVID-19 pandemic event on the global equity market, commodities and FX market, measured in terms of the investors' fear index.

In this empirical work, the authors employ time series-based regression models followed by augmented dummy regressions and growth of the COVID-19.

COVID-19-induced investors' fear appears to be higher in the equity segment for the first time since the market crash of 1987 and the global financial crisis of 2008–2009. Furthermore, this disease outbreak shock has been more pronounced in terms of crude oil prices. Besides, a market participant in the commodity and FX market has paid a disproportionate premium to protect such pandemic development. Findings show that Options act as the best hedge against an uncertainty like COVID-19 and that option-based implied volatility is the best measure of investors' fear and market volatility.

This study has practical implications for the financial markets, e.g. (1) Contagious disease outbreak news matters for the equity, commodity, and foreign exchange markets – empirical outcome validates the theory of market efficiency valid for the Options. (2) Option's implied volatility is the best indicator of investor fear measured for the unprecedented economic news. Further implication holds for the policymakers and society, e.g. (1) The unavailability of short-selling could be one plausible reason for increased uncertainty and volatility; hence, policymakers should look upon this issue at the exchange level. (2) Any market needs multiple lines of risk management, effective price discovery and attractive liquidity.

The study is novel in terms of presenting market behavior amid COVID-19 across global equity markets and commodities and FX markets.

The crude oil market has experienced an unprecedented overreaction in the first half of the pandemic year 2020. This study aims to show the performance of the global crude oil market amid Covid-19 and spillover relations with other asset classes.

The authors employ various pandemic outbreak indicators to show the overreaction of the crude oil market due to Covid-19 infection. The analysis also presents market connectedness and spillover relations between the crude oil market and other asset classes.

One of the essential findings the authors report is that the crude oil market remains more responsive to pandemic fake news. The shock of the global pandemic panic index and pandemic sentiment index appears to be more promising. It has also been noticed that the energy trader's sentiment (OVX and OIV) was measured at a too high level within the Covid-19 outbreak. Volatility spillover analysis shows that crude oil and other market are closely connected, and the total connectedness index directs on average 35% contribution from spillover. During the initial growth of the infection, other macroeconomic and political events remained to favor the market. The second phase amidst the pandemic outbreak harms the global crude oil market. The authors find that infectious diseases increase investor panic and anxiety.

The crude oil investors' sentiment index OVX indicates fear and panic due to infectious diseases and lack of hedge funds to protect energy investments. The unparalleled overreaction of the investors gauged in OVX indicates market participants have paid an excessive put option (protection) premium over the contagious outbreak of the infectious disease.

The empirical model and result reported amid Covid-19 are novel in terms of employing a news-based index of the pandemic, which are based on the content analysis and text search using natural processing language with the aid of computer algorithms.

原油市場在流行病肆虐的2020年的頭半年經歷史無前例的過度反應。本文旨在顯示全球原油市場在2019冠狀病毒病流行期間的表現及原油市場與其它資產類別之溢出關係.

我們使用各種大流行病爆發的指標，來顯示原油市場因2019冠狀病毒病的感染而過度反應。我們的分析亦涉及市場的關聯性及原油市場與其它資產類別之溢出關係.

我們其中一個基本的發現是: 原油市場仍對大流行病的虛假新聞有更迅速的反應。全球大流行病恐慌性指數及大流行病情緒指數所帶來的震驚似乎是有希望的。大家亦察覺，能源交易商的情緒(OVX及OIV) 在2019冠狀病毒病爆發期間被測量為處於太高的水平。波動溢出分析顯示、原油與其它市場有密切的關係，而總關聯度指數引導平均35%來自溢出量的作用。在感染傳播初期，其它的宏觀經濟和政治事件仍對市場有利。在大流行病爆發期間的第二階段則損害全球原油市場。我們發現，傳染病會增加投資者的恐慌和焦慮.

原油投資者的情緒指數OVX顯示因傳染病及因缺乏對沖基金來保障能源投資而帶來的懼怕和恐慌。於OVX測算到的投資者空前的過度反應顯示市場參與者就這傳染病的感染爆發付出過量的賣權(保障)權利金.

我們的經驗模型和在2019冠狀病毒病肆虐期間匯報的研究結果，從使用以新聞為基礎的流行病指數的角度而言是新穎的。而這些全以內容分析和正文搜尋為基礎、使用自然語言處理，並輔以計算機算法.

While Blockchain can serve us, Bitcoin threatens our survival. If Bitcoin is assumed to be a country, it will rank 38th globally for energy consumption. With 90.2 metric million tonnes of carbon dioxide, Bitcoin mining and trading has emerged as an environmental threat. The current study investigates how the trading-specific variables, the prices of Crypto Index and Ethereum, affect bitcoin-based energy consumption. Also, the role of mining-specific variables is analyzed.

The study uses monthly data from various sources collected from December 2018 to January 2023. The authors used the Autoregressive Distributed Lag (ARDL) Model to determine the short- and long-term relationships between variables. This study uses the Theory of Green Marketing and the Theory of Cross Elasticity of Demand as a theoretical lens.

The findings show that escalating crypto market index and Ethereum prices with a one-month lag increases bitcoin-specific electricity consumption and carbon emissions. Green investors may shift to cryptocurrencies based on consensus other than of Proof-of-Work. Ethereum behaves like a substitute for Bitcoin, reflected by the long-term positive relationship between Bitcoin's energy consumption and Ethereum prices.

The study analyses how the crypto market index and Ethereum price affect bitcoin-based energy use. The relationships identified are substantiated by the literature to provide suggestions to green investors and policymakers to mitigate the harmful impact of Bitcoin's colossal energy consumption on the natural environment.

In recent times, sustainable investment gaining much attention within the investors’ community and it is broadly driven by environmental, social and governance (ESG) factors. This study aims to examine the ESG-based sustainability index and economic policy uncertainty (EPU).

Corporate sustainability assessment procedure yields Dow Jones sustainability indexes (DJSIUS) and ESG compliant firms become a member of such indexes. To uncover the effects of policy uncertainty as follows: the study considers EPU index, equity market policy uncertainty index, economic and political events for the period 2000–2017. The authors present the study using a conditional volatility framework.

The correlation between the DJSIUS and policy uncertainty appears to be negative and statistically significant. It is apparent from the results that policy uncertainty does contain important ESG factors that explain the sustainable investment in US firms. Moreover, the stock market boom, credit crunch, Lehman collapse and fiscal crises have shown significant adverse effects on the sustainability index. More importantly, it is seen that investors’ sustainable investing considers presidential election years for portfolio planning; the uncertainty associated with the election years has also shown a negative impact on the sustainable returns.

First, sustainability is essential for the long-term stakeholders’ wealth maximization under governments’ policy uncertainty such as constrained resources, demographic and climate-change-policy, societal expectations, public-policies, regulatory structure. Second, EPU creates new opportunities and risks for sustainable firms and sustainable investing.

The study is novel in which the authors present the effects of uncertainty on socially responsible investing.

Trade uncertainty does influence the firm’s new investment, profitability and supply chain finance. Consequently, it results in decreased consumption and low consumer confidence and eventually disrupts global economic activity. This paper aims to propose a model to uncover the effects of trade policy uncertainty (TPU) on the real economic activity and economy’s health measured in terms of the purchasing manager’s index (PMI).

This study uses the PMI, trade policy uncertainty index, economic policy uncertainty index and short-term interest rate. The relation between economic activity and uncertainty was studied using nested regression and vector autoregressive model.

The empirical results show that PMI of China and Japan were more responsive to the TPU of the USA and remained more fluctuating during the year 2018–2019. Importantly, this paper notices that the US’s PMI reached a low historically subject to its own trade policy and tension with China. Overall, TPU has shown more pronounced effects on PMI across China, Japan and the USA, followed by important economic and political events and major trade tariff uncertainty deals.

The empirical outcome holds some practical implications trade uncertainty affects not only the economic health of the economy but also market participants, global investors and international political environment, recent trade barriers, tariff wars and ambiguity raise question about free and fair global trade and competitiveness of the member country of the world trade organization.

The work is a novel that attempts to explain economic activity and supply chain through PMI. Unlike conventional economic indicators, e.g. gross domestic product, producer price index, consumer price index, employment, etc. PMI measures manufacturing industries’ overall status concerning the number of orders, inventory levels, productions, supplier deliveries and employment.

The purpose of this paper is to analyze the asymmetric contemporaneous relationship between implied volatility index (India VIX) and Equity Index (S & P CNX Nifty Index). In addition, the study also analyzes the seasonality of implied volatility index in the form of day-of-the-week effects and option expiration cycle.

This study employs simple OLS estimation to analyze the contemporaneous relationship among the volatility index and stock index. In order to obtain robust results, the analysis has been presented for the calendar years and sub-periods. Moreover, the international evidenced presented for other Asian markets (Japan and China).

The empirical evidences reveal a strong persistence of asymmetry among the India VIX and Nifty stock index, at the same time the magnitude of asymmetry is not identical. The results show that the changes in India VIX occur bigger for the negative return shocks than the positive returns shocks. The similar kinds of results are recorded for the Japan and China volatility index. Particularly, the analysis also supports that India VIX holds seasonality, on the market opening VIX observed to be at its high level, and on the subsequent days it remains low. The results on the options expiration unfold the facts that India VIX remains more normal on the day of expiration.

The asymmetric relation and seasonal patterns are quite useful to the volatility traders to price the financial assets when market trades in the high- and low-volatility periods.

There is a lack of studies of this kind in the context of emerging markets like India; hence, this is an attempt in this direction. The study provides an insight to the NSE to launch some derivative products (i.e. F & Os) on India VIX that can generate more liquidity in the market for the volatility traders.

The aim of this study is to examine the “volatility smile” or/and “skew”, term structure and implied volatility surfaces based on those European options written in the standard and poor (S&P) Nifty equity index. The stochastic nature of implied volatility across strike price, time-to-expiration and moneyness violates the core assumption of the Black–Scholes option pricing model.

The potential determinants of implied volatility are the degree of moneyness, time-to-expiration and the liquidity of the strikes. The empirical work has been expressed by means of a simple ordinary least squares (OLS) framework and presents the estimation results according to moneyness, time-to-expiration and liquidity of options.

The options data give evidence of the existence of a classical U-shaped volatility smile for the Indian options market. Indeed, there is some evidence that the “volatility smirk” which pertains to 30-day options and also implied volatility remain higher for the shorter maturity options and decrease as the time-to-expiration increases. The results lead us to believe that in-the-money calls and out-of-the-money puts are of higher volatility than at-the-money options. Conclusion was drawn due to the persistence of the smile in the options market.

The practical implication of studying stylized patterns of implied volatility is that it educates the volatility traders about how in-the-money and out-of-the-money options are priced in the options market, and provides an estimate of volatility for the pricing of future options.

This study is an extension of previous work. The undertaking has been to examine the case of a more liquid and transparent options market, which is missing from the earlier work. The current study is more relevant because, since 2008, significant changes have been observed in the futures and options market in India.