Showing 1 - 10 of 4,018
This paper develops a simulation-based solution method to solve large state space macrofinance models using machine learning. We use a neural network (NN) to approximate the expectations in the optimality conditions in the spirit of the stochastic parameterized expectations algorithm (PEA)....
Persistent link: https://www.econbiz.de/10013202712
We use supervised machine learning to approximate the expectations typically contained in the optimality conditions of an economic model in the spirit of the parameterized expectations algorithm (PEA) with stochastic simulation. When the set of state variables is generated by a stochastic...
Persistent link: https://www.econbiz.de/10014496944
It is a common understanding that bankruptcy is not a sudden occurrence for any organizations. Macro and micro economic studies have suggested numerous influential factors, which have substantial evidence toward firm's performance (Bekeris, 2012) and survivability (Nehrebecka & Dzik, 2013). With...
Persistent link: https://www.econbiz.de/10012905006
Experts’ opinions are widely considered for investment decisions. We collect textual information from cryptocurrency experts, study the dynamics in their discussion topics and their sentiment in relation to market movements. Based on the analysis we test various hypothesis which span if the...
Persistent link: https://www.econbiz.de/10013230484
tractable. The approach allows for simultaneous calibration to market volatility surfaces of currency triangles, and also gives …
Persistent link: https://www.econbiz.de/10012963076
closely and has certain other advantages. Second, we introduce a volatility index that provides a lower bound on the market …
Persistent link: https://www.econbiz.de/10012489383
on some high frequency basis has spurred the research in the field of volatility modeling and forecasting into new … directions. First, the realized variance is a much better estimate of the latent volatility than the sum of the weighted daily … squared returns. As such it is better suited for comparing the out-of-sample performances of competing volatility models …
Persistent link: https://www.econbiz.de/10010263102
This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that … application is for volatility forecasts of the Mexican Peso–US Dollar exchange rate, where realized volatility calculated using … intra-day data is used as a proxy for the (latent) daily volatility. -- Composite Forecasts ; Forecast Evaluation ; GARCH …
Persistent link: https://www.econbiz.de/10003821060
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search … queries. We find a strong co-movement of stock market indices’ realized volatility and the search queries for their names …. Furthermore, Granger causality is bi-directional: high searches follow high volatility, and high volatility follows high searches …
Persistent link: https://www.econbiz.de/10009355522
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search … queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names …. Furthermore, Granger causality is bi-directional: high searches follow high volatility, and high volatility follows high searches …
Persistent link: https://www.econbiz.de/10009357284