Can we use volatility to diagnose financial bubbles? lessons from 40 historical bubbles
We inspect the price volatility before, during, and after financial asset bubbles in orderto uncover possible commonalities and check empirically whether volatility might be used as anindicator or an early warning signal of an unsustainable price ...
Didier Sornette+2 more
doaj +1 more source
Interest rate volatility and financing of Islamic banks
Despite a direct ban on charging interest, interest-based benchmarks are used as a pricing reference by a majority of Islamic banks, due in part to the absence of stable and widely- published alternatives. Benchmarking interest rate exposes Islamic banks to the problems of conventional banks, particularly the interest rate risk.
Muhammad Nouman+5 more
openaire +3 more sources
Realized Volatility Forecasting with Neural Networks
In the last few decades, a broad strand of literature in finance has implemented artificial neural networks as a forecasting method. The major advantage of this approach is the possibility to approximate any linear and nonlinear behaviors without ...
Andrea Bucci
semanticscholar +1 more source
TRPM8 levels determine tumor vulnerability to channel agonists
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo+18 more
wiley +1 more source
Maximum likelihood approach for several stochastic volatility models
Volatility measures the amplitude of price fluctuations. Despite it is one of the most important quantities in finance, volatility is not directly observable.
Camprodon, Jordi, Perelló, Josep
core +1 more source
Asymptotic expansion for some local volatility models arising in finance [PDF]
In this paper we study the small noise asymptotic expansions for certain classes of local volatility models arising in finance. We provide explicit expressions for the involved coefficients as well as accurate estimates on the remainders. Moreover, we perform a detailed numerical analysis, with accuracy comparisons, of the obtained results by mean of ...
Albeverio S.+3 more
openaire +5 more sources
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
The authors find support for a negative relation between conditional expected monthly return and conditional variance of monthly return using a GARCH-M model modified by allowing (1) seasonal patterns in volatility, (2) positive and negative innovations ...
L. Glosten, R. Jagannathan, D. Runkle
semanticscholar +1 more source
Financial Twitter Sentiment on Bitcoin Return and High-Frequency Volatility
This paper studies how sentiment affect Bitcoin pricing by examining, at an hourly frequency, the linkage between sentiment of finance-related Twitter messages and return as well as the volatility of Bitcoin as a financial asset.
Xiang Gao, Weige Huang, Hua Wang
semanticscholar +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Forward implied volatility expansion in time-dependent local volatility models******
We introduce an analytical approximation to efficiently price forward start options on equity in time-dependent local volatility models as the forward start date, the maturity or the volatility coefficient are small.
Bompis Romain, Hok Julien
doaj +1 more source