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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
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
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
Chapter 1 Introduction -- Chapter 2 Efficient markets -- Chapter 3 Equity premium -- Chapter 4 The dividend ratio model -- Chapter 5 Bond valuation -- Chapter 6 Yield curves -- Chapter 7 Term structure models -- Chapter 8 Real estate market -- Chapter 9 Derivative securities -- Chapter 10...
Persistent link: https://www.econbiz.de/10014337024
In this paper we apply the multivariate construction for Lévy processes introduced by Ballotta and Bonfiglioli (2014) to propose an integrated model for the joint dynamics of FX exchange rates and asset prices. We show that the proposed construction is consistent in terms of symmetries with...
Persistent link: https://www.econbiz.de/10013027591
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
Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...
Persistent link: https://www.econbiz.de/10001657476
alleviating finite sample biases arising from the pronounced intraday volatility pattern which afflict alternative jump …
Persistent link: https://www.econbiz.de/10014200896