D 2014

The application of sovereign bond spreads: The case of France, Germany and Great Britain

HVOZDENSKÁ, Jana a Veronika KAJUROVÁ

Základní údaje

Originální název

The application of sovereign bond spreads: The case of France, Germany and Great Britain

Název anglicky

The application of sovereign bond spreads: The case of France, Germany and Great Britain

Autoři

HVOZDENSKÁ, Jana (203 Česká republika, garant, domácí) a Veronika KAJUROVÁ (203 Česká republika, domácí)

Vydání

Olomouc, Proceedings of the 32nd International Conference Mathematical Methods in Economics 2014, od s. 343-347, 5 s. 2014

Nakladatel

Palacký University, Faculty of Science

Další údaje

Jazyk

čeština

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14560/14:00076114

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-80-244-4209-9

UT WoS

000356417900060

Klíčová slova anglicky

GDP prediction; yield curve; slope; spread

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 30. 7. 2015 12:40, Mgr. Daniela Marcollová

Anotace

V originále

The yield curve – specifically the spread between long term and short term interest rates is a valuable forecasting tool. It is simple to use and significantly outperforms other financial and macroeconomic indicators in predicting recessions two to six quarters ahead. The steepness of the yield curve should be an excellent indicator of a possible future economic activity. A rise in the short rate tends to flatten the yield curve as well as to slow down real growth the near term. This paper aims to analyze the dependence between slope of the yield curve and an economic activity of France, Germany and Great Britain between the years 2000 and 2013. The slope of the yield curve can be measured as the yield spread between sovereign 10-year bonds and sovereign 3-month bonds. The natural and probably the most popular measure of economic growth is by GDP growth, taken quarterly. The results showed that the best predictive lag is a lag of five quarters. The theory says that it should be lag of four quarters. The results presented also confirm that 10-year and 3-month yield spread has significant predictive power for real GDP growth after financial crisis. These findings can be beneficial for investors and provide further evidence of the potential usefulness of the yield curve spreads as indicators of the future economic activity.

Anglicky

The yield curve – specifically the spread between long term and short term interest rates is a valuable forecasting tool. It is simple to use and significantly outperforms other financial and macroeconomic indicators in predicting recessions two to six quarters ahead. The steepness of the yield curve should be an excellent indicator of a possible future economic activity. A rise in the short rate tends to flatten the yield curve as well as to slow down real growth the near term. This paper aims to analyze the dependence between slope of the yield curve and an economic activity of France, Germany and Great Britain between the years 2000 and 2013. The slope of the yield curve can be measured as the yield spread between sovereign 10-year bonds and sovereign 3-month bonds. The natural and probably the most popular measure of economic growth is by GDP growth, taken quarterly. The results showed that the best predictive lag is a lag of five quarters. The theory says that it should be lag of four quarters. The results presented also confirm that 10-year and 3-month yield spread has significant predictive power for real GDP growth after financial crisis. These findings can be beneficial for investors and provide further evidence of the potential usefulness of the yield curve spreads as indicators of the future economic activity.

Návaznosti

MUNI/A/0786/2013, interní kód MU
Název: Analýza a predikce vývoje cen finančních a investičních nástrojů
Investor: Masarykova univerzita, Analýza a predikce vývoje cen finančních a investičních nástrojů, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty