scholarly journals WPŁYW INFORMACJI Z USA NA ŚRÓDDZIENNĄ SEZONOWOŚĆ NA PRZYKŁADZIE SPÓŁKI KGHM

2019 ◽  
Vol 20 (2) ◽  
pp. 138-148
Author(s):  
Tomasz Wójtowicz

Intensity of trading on stock markets is characterized by a visible intraday seasonality pattern. In the case of European markets, this seasonality is strongly influenced by announcements of information about the US economy. In this paper we study the impact of these publications on intraday seasonality of trading volume and volatility of KGHM returns in the period from 2001 to 2016. The analysis concerns both the strength and the length of the impact of new, important information.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiangzhuo Chen ◽  
Anil Vullikanti ◽  
Stefan Hoops ◽  
Henning Mortveit ◽  
Bryan Lewis ◽  
...  

Abstract We use an individual based model and national level epidemic simulations to estimate the medical costs of keeping the US economy open during COVID-19 pandemic under different counterfactual scenarios. We model an unmitigated scenario and 12 mitigation scenarios which differ in compliance behavior to social distancing strategies and in the duration of the stay-home order. Under each scenario we estimate the number of people who are likely to get infected and require medical attention, hospitalization, and ventilators. Given the per capita medical cost for each of these health states, we compute the total medical costs for each scenario and show the tradeoffs between deaths, costs, infections, compliance and the duration of stay-home order. We also consider the hospital bed capacity of each Hospital Referral Region (HRR) in the US to estimate the deficit in beds each HRR will likely encounter given the demand for hospital beds. We consider a case where HRRs share hospital beds among the neighboring HRRs during a surge in demand beyond the available beds and the impact it has in controlling additional deaths.


2009 ◽  
Vol 10 (1) ◽  
pp. 89-105
Author(s):  
Koulakiotis Dasilas ◽  
Tolikas Molyneux

This paper investigates the relationship between volatility transmission and stock market regulatory structures, interest rates and trading volume for European securities which are cross-listed on stock exchanges of higher, lower or similar regulatory standards compared to their home stock markets. The empirical results suggested that the regulatory environment has a significant impact on volatility spillovers and the level of interest rates and trading volume have a positive impact on the magnitude and persistence of these volatility spillovers. These findings have potentially important implications for both regulators and investors who are concerned with the effectiveness of legislation aiming to harmonise the European stock markets and the effects of volatility transmission on investment positions across European stock markets.


2020 ◽  
Vol 47 (3) ◽  
pp. 561-595
Author(s):  
Konstantinos N. Konstantakis ◽  
Panayotis G. Michaelides ◽  
Theofanis Papageorgiou ◽  
Theodoros Daglis

PurposeThis research paper uses a novel methodological approach to investigate the spillover effects among the key sectors of the US economy.Design/methodology/approachThe paper links the US sectors via a node theoretic scheme based on a general equilibrium framework, whereas it estimates the general equilibrium equation as a Global Vector Autoregressive process, taking into consideration the potential existence of dominant units.FindingsBased on our findings, the dominant sector in the US economy, for the period 1992–2015, is the sector of information technology, finance and communications, a fact that gives credence to the view that the US economy is a service-driven economy. In addition, the US economy seems to benefit by the increased labour mobility across knowledge-intensive sectors, thus avoiding the ‘employment trap’ which in turn enabled the US economy to overcome the financial crisis of 2007.Originality/valueFirstly, the paper models by means of a network approach which is based on a general equilibrium framework, the linkages between the US sectors while treating the sector of information, technology, communications and finance as dominant, as dictated by its degree of centrality in the network structure. Secondly, the paper offers a robustness analysis regarding both the existence and the identification of dominant sectors (nodes) in the US economy. Thirdly, the paper studies a wide period, namely 1992–2015, fully capturing the recent global recession, while acknowledging the impact of the global crisis through the introduction of the relevant exogenous dummy variables; Lastly and most importantly, it is the first study to apply the GVAR approach in a network general equilibrium framework at the sectoral level.


Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.


2017 ◽  
Vol 47 (3) ◽  
pp. 623-629
Author(s):  
Christopher Clarke ◽  
Raymond G. Batina

We replicate the results of the landmark paper by Aschauer (1989) on the impact of public capital on the US economy. We obtained data from his stated sources and followed his exact methods and are able to replicate his main results. We also extend his data to the period 1949 to 2015, use different data sources, DOLS and VECM estimation, and Granger causality tests. We are again able to replicate his results. Please see the longer version of our article for details.


2003 ◽  
Vol 14 (2) ◽  
pp. 219-241 ◽  
Author(s):  
Frank S.T Hsiao ◽  
Mei-chu W Hsiao ◽  
Akio Yamashita

Sign in / Sign up

Export Citation Format

Share Document