Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Giacomo Tizzanini"'
Publikováno v:
Data Science in Finance and Economics, Vol 2, Iss 3, Pp 181-204 (2022)
Central banks communication has lately become an important tool to guide expectations and its impact on the economy has been acknowledged by the literature. Nowadays central banks speeches face an increasing variety of topics, which are not discrimin
Externí odkaz:
https://doaj.org/article/4dcecfc64bc84ab98c0931537a43e3dd
Publikováno v:
SSRN Electronic Journal.
Central banks communication has lately become an important tool to guide expectations and its impact on the economy has been acknowledged by the literature. Nowadays central banks speeches face an increasing variety of topics, which are not discrimin
Publikováno v:
SSRN Electronic Journal.
Applying text analysis to speeches and press releases we construct a Sentiment Index (CBSI) of four central banks to (i) investigate spillovers generated by CBSIs on financial variables with GIRF; (ii) analyze the time-varying and statistically signi
Autor:
Emanuele De Meo, Giacomo Tizzanini
Publikováno v:
Economic Notes. 50
We propose a tool to predict risks to economic growth and international business cycles spillovers: the GDP-Network CoVaR. Our methodology to assess Growth-at-Risk is composed by two building blocks. First, we apply the network-based NETS methodology
Publikováno v:
SSRN Electronic Journal.
We propose a new data-rich environment model of the yield curve, the macroeconomy, monetary policies and effective exchange rates for a panel of 11 countries: the iDREAM. The endogenous variables are observable (short- and long-term interest rates, e
Publikováno v:
SSRN Electronic Journal.
Could a Fed rate hike affect Turkish banks' stock prices? Could it lead to an increase in the exposure to interest rate risk of Turkish banks, generating negative spillover effects? By means of a new data-rich environment IVAR model with both observa
Autor:
Emanuele De Meo, Giacomo Tizzanini
Publikováno v:
SSRN Electronic Journal.
We propose a tool to predict risks to economic growth and international business cycles spillovers: the GDP-Network CoVaR. Our methodology to assess Growth-at-Risk is composed by two building blocks. First, we apply the network-based NETS methodology
Publikováno v:
Data Science in Finance & Economics; 2024, Vol. 4 Issue 3, p1-26, 26p
Publikováno v:
Data Science in Finance & Economics; 2024, Vol. 4 Issue 3, p1-34, 34p
Autor:
Barbieri, Paolo Nicola1,2 (AUTHOR), Lusignani, Giuseppe2,3 (AUTHOR), Prosperi, Lorenzo2 (AUTHOR) lorenzo.prosperi@prometeia.com, Zicchino, Lea2 (AUTHOR)
Publikováno v:
Quantitative Finance. Oct2022, Vol. 22 Issue 10, p1927-1954. 28p.