Showing 61 - 70 of 78
Data show that better creditor protection is correlated across countries with lower average stock market volatility …
Persistent link: https://www.econbiz.de/10012463509
This paper addresses how creditor protection affects the volatility of stock market prices. Credit protection reduces … volatility in 40 countries over the period from 1984 to 2004. Estimated probabilities of a liquidity crisis are used as a proxy … price volatility …
Persistent link: https://www.econbiz.de/10012465565
We find an empirical regularity that stronger creditor protection reduces the volatility of stock market prices. We … analyze two distinct mechanisms that characterize equity price volatility: government guarantees and creditor protection … credit constraints, increases stock price volatility. Empirically, accounting for the probability of financial crises, we …
Persistent link: https://www.econbiz.de/10012466542
study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of …
Persistent link: https://www.econbiz.de/10012838218
This paper addresses how creditor protection affects the volatility of stock market prices. Credit protection reduces … volatility in 40 countries over the period from 1984 to 2004. Estimated probabilities of a liquidity crisis are used as a proxy … price volatility …
Persistent link: https://www.econbiz.de/10012776957
Data show that better creditor protection is correlated across countries with lower average stock market volatility …
Persistent link: https://www.econbiz.de/10013093466
Persistent link: https://www.econbiz.de/10001413436
Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field of quantitative finance and insurance, this...
Persistent link: https://www.econbiz.de/10002123307
In this paper we propose a new bootstrap, or Monte-Carlo, approach to such problems. Traditional bootstrap methods in this context are based on fitting a process chosen from a wide but relatively conventional range of discrete time series models, including autoregressions, moving averages,...
Persistent link: https://www.econbiz.de/10014164282
Information about risk preferences from investors is essential for modelling a wide range of quantitative finance applications. Valuable information related to preferences can be extracted from option prices through pricing kernels. In this paper, pricing kernels and their term structure are...
Persistent link: https://www.econbiz.de/10012966244