Search

Search

Papers, wiki, Option Blackboard, encyclopedia, and cards.

Results for “COVID” · papers 18 · wiki 1
Academic Papers · 18arXiv q-fin live 8 · desk corpus 31
arXiv · arXiv q-fin · 2023

The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility -- A Two-Stage DCC-EGARCH Model Analysis

This research examines the correlations between the return volatility of cryptocurrencies, global stock market indices, and the spillover effects of the COVID-19 pandemic. For this purpose, we employed a two-stage multivariate volatility exponential GARCH (EGARCH) model with an integrated dynamic conditional correlation (DCC) approach to measure the impact on the financial portfolio returns from 2019 to 2020. Moreove

Apostolos Ampountolas
arXiv · arXiv q-fin · 2022

How Covid mobility restrictions modified the population of investors in Italian stock markets

This paper investigates how Covid mobility restrictions impacted the population of investors of the Italian stock market. The analysis tracks the trading activity of individual investors in Italian stocks in the period January 2019-September 2021, investigating how their composition and the trading activity changed around the Covid-19 lockdown period (March 9 - May 19, 2020) and more generally in the period of the pa

Paola Deriu, Fabrizio Lillo, Piero Mazzarisi, Francesca Medda, Adele Ravagnani
arXiv · arXiv · 2025

The additive Bachelier model with an application to the oil option market in the Covid period

In April 2020, the Chicago Mercantile Exchange temporarily switched the pricing formula for West Texas Intermediate oil market options from the Black model to the Bachelier model. In this context, we introduce an additive Bachelier model that provides a simple closed-form solution and a good description of the implied volatility surface. This new additive model exhibits several notable mathematical and financial prop

Roberto Baviera, Michele Domenico Massaria
arXiv · arXiv · 2022

Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period

Every financial crisis has caused a dual shock to the global economy. The shortage of market liquidity, such as default in debt and bonds, has led to the spread of bankruptcies, such as Lehman Brothers in 2008. Using the data for the ETFs of the S&P 500, Nasdaq 100, and Dow Jones Industrial Average collected from Yahoo Finance, this study implemented Deep Learning, Neuro Network, and Time-series to analyze the trend

Weilin Fu, Zhuoran Li, Yupeng Zhang, Xingyou Zhou
arXiv · arXiv · 2025

Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets

This study examines the impact of the coronavirus disease 2019 (COVID-19) pandemic on market efficiency by analyzing three time series -- price returns, absolute returns, and volatility increments -- in stock (Deutscher Aktienindex, Nikkei 225, Shanghai Stock Exchange (SSE), and Volatility Index) and cryptocurrency (Bitcoin and Ethereum) markets. The effect is found to vary by asset class and market. In the stock mar

Tetsuya Takaishi
arXiv · arXiv · 2024

The aftermath of the Covid pandemic in the forest sector: new opportunities for emerging wood products

Context: Over the last decade, the forestry sector has undergone substantial changes, evolving from a post-2008 financial crisis landscape to incorporating policies favoring sustainable and green alternatives, especially after the 2015 Paris agreement. This evolution was drastically disrupted with the advent of the COVID-19 pandemic in 2020, causing unprecedented interruptions in supply chains, product markets, and d

Mojtaba Houballah, Jean-Yves Courtonne, Henri Cuny, Antoine Colin, Mathieu Fortin
arXiv · arXiv · 2023

Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM

The US stock market experienced instability following the recession (2007-2009). COVID-19 poses a significant challenge to US stock traders and investors. Traders and investors should keep up with the stock market. This is to mitigate risks and improve profits by using forecasting models that account for the effects of the pandemic. With consideration of the COVID-19 pandemic after the recession, two machine learning

Reza Nematirad, Amin Ahmadisharaf, Ali Lashgari
arXiv · arXiv · 2022

The short-term effect of COVID-19 pandemic on China's crude oil futures market: A study based on multifractal analysis

The ongoing COVID-19 shocked financial markets globally, including China's crude oil future market, which is the third most traded crude oil futures after WTI and Brent. As China's first crude oil futures accessible to foreign investors, the Shanghai crude oil futures (SC) have attracted significant interest since launch at the Shanghai International Energy Exchange. The impact of COVID-19 on the new crude oil future

Shao Ying-Hui, Liu Ying-Lin, Yang Yan-Hong
arXiv · arXiv · 2022

Crypto-assets better safe-havens than Gold during Covid-19: The case of European indices

As the first crisis faced by Crypto-assets, Covid-19 updated the debate about their safehaven properties. Our paper tries to analyze the safe-haven properties of Crypto-assets and Gold for European assets. We find that Gold has not been more efficient than Cryptoassets (Tether, Cardano and Dogecoin) as safe-haven during the market crash due to Covid-19 in March 2020. We also found that during the study period Bitcoin

Alhonita Yatie
arXiv · arXiv · 2021

Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model

We aim to assess the impact of a pandemic data point on the calibration of a stochastic multi-population mortality projection model and its resulting projections for future mortality rates. Throughout the paper we put focus on the Li & Lee mortality model, which has become a standard for projecting mortality in Belgium and the Netherlands. We calibrate this mortality model on annual deaths and exposures at the level

Jens Robben, Katrien Antonio, Sander Devriendt
arXiv · arXiv · 2021

Examining the Dynamic Asset Market Linkages under the COVID-19 Global Pandemic

This study examines the dynamic asset market linkages under the COVID-19 global pandemic based on market efficiency, in the sense of Fama (1970). Particularly, we estimate the joint degree of market efficiency by applying Ito et al.'s (2014; 2017) Generalized Least Squares-based time-varying vector autoregression model. The empirical results show that (1) the joint degree of market efficiency changes widely over time

Akihiko Noda
arXiv · arXiv · 2021

Mortality in Germany during the Covid-19 pandemic

The Covid-19 pandemic still causes severe impacts on society and the economy. This paper studies excess mortality during the pandemic years 2020 and 2021 in Germany empirically with a special focus on the life insurer's perspective. Our conclusions are based on official counts of German governmental offices on the living and deaths of the entire population. Conclusions, relevant for actuaries and specific insurance b

Alois Pichler, Dana Uhlig
arXiv · arXiv · 2021

Effects of Covid-19 Pandemic on Chinese Commodity Futures Markets

In this study, empirical moments and the cointegration for all the liquid commodity futures traded in the Chinese futures markets are analyzed for the periods before and after Covid-19, which is important for trading strategies such as pairs trading. The results show that the positive change in the average returns of the products such as soybean, corn, corn starch, and iron ore futures are significantly stronger than

Ahmet Goncu
arXiv · arXiv · 2020

Statistical properties of the aftershocks of stock market crashes revisited: Analysis based on the 1987 crash, financial-crisis-2008 and COVID-19 pandemic

During any unique crisis, panic sell-off leads to a massive stock market crash that may continue for more than a day, termed as mainshock. The effect of a mainshock in the form of aftershocks can be felt throughout the recovery phase of stock price. As the market remains in stress during recovery, any small perturbation leads to a relatively smaller aftershock. The duration of the recovery phase has been estimated us

Anish Rai, Ajit Mahata, Md Nurujjaman, Om Prakash
arXiv · arXiv · 2020

Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery

The emergence of the COVID-19 pandemic, a new and novel risk factor, leads to the stock price crash due to the investors' rapid and synchronous sell-off. However, within a short period, the quality sectors start recovering from the bottom. A stock price model has been developed during such crises based on the net-fund-flow ($Ψ_t$) due to institutional investors, and financial antifragility ($φ$) of a company. We assu

Ajit Mahata, Anish rai, Om Prakash, Md Nurujjaman
arXiv · arXiv · 2020

Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent

Cryptocurrency history begins in 2008 as a means of payment proposal. However, cryptocurrencies evolved into complex, high yield speculative assets. Contrary to traditional financial instruments, they are not (mostly) traded in organized, law-abiding venues, but on online platforms, where anonymity reigns. This paper examines the long term memory in return and volatility, using high frequency time series of eleven im

M. Belén Arouxet, Aurelio F. Bariviera, Verónica E. Pastor, Victoria Vampa
arXiv · arXiv · 2020

How does stock market reflect the change in economic demand? A study on the industry-specific volatility spillover networks of China's stock market during the outbreak of COVID-19

Using the carefully selected industry classification standard, we divide 102 industry securities indices in China's stock market into four demand-oriented sector groups and identify demand-oriented industry-specific volatility spillover networks. The "deman-oriented" is a new idea of reconstructing the structure of the networks considering the relationship between industry sectors and the economic demand their output

Fu Qiao, Yan Yan
arXiv · arXiv · 2020

Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory

COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoods, too. In this research, authors investigate the impact of COVID-19 on the global economy, more specifically, the impact of COVID-19 on financial movement of Crude Oil

Daniel Štifanić, Jelena Musulin, Adrijana Miočević, Sandi Baressi Šegota, Roman Šubić
Wiki Entities · 1
Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 1
Cards · 0
No cards matched.
← Back to Codex