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This study investigates the contribution of Intrinsic Mode Functions (IMFs) derived from economic time series to the predictive performance of neural network models, specifically Multilayer Perceptrons (MLP) and Long Short-Term Memory (LSTM) networks. To enhance interpretability, DeepSHAP is applied, which estimates the marginal contribution of each IMF while keeping the rest of the series intact. Results show that t…
Systemic liquidity risk, defined by the IMF as "the risk of simultaneous liquidity difficulties at multiple financial institutions", is a key topic in macroprudential policy and financial stress analysis. Specialized models to simulate funding liquidity risk and contagion are available but they require not only banks' bilateral exposures data but also balance sheet data with sufficient granularity, which are hardly a…
This study applies Empirical Mode Decomposition (EMD) to the MSCI World index and converts the resulting intrinsic mode functions (IMFs) into graph representations to enable modeling with graph neural networks (GNNs). Using CEEMDAN, we extract nine IMFs spanning high-frequency fluctuations to long-term trends. Each IMF is transformed into a graph using four time-series-to-graph methods: natural visibility, horizontal…
This study proposes a hybrid deep learning model for forecasting the price of Bitcoin, as the digital currency is known to exhibit frequent fluctuations. The models used are the Variational Mode Decomposition (VMD) and the Long Short-Term Memory (LSTM) network. First, VMD is used to decompose the original Bitcoin price series into Intrinsic Mode Functions (IMFs). Each IMF is then modeled using an LSTM network to capt…
Financial time series prediction, a growing research topic, has attracted considerable interest from scholars, and several approaches have been developed. Among them, decomposition-based methods have achieved promising results. Most decomposition-based methods approximate a single function, which is insufficient for obtaining accurate results. Moreover, most existing researches have concentrated on one-step-ahead for…
The cryptocurrency market is unique on many levels: Very volatile, frequently changing market structure, emerging and vanishing of cryptocurrencies on a daily level. Following its development became a difficult task with the success of cryptocurrencies (CCs) other than Bitcoin. For fiat currency markets, the IMF offers the index SDR and, prior to the EUR, the ECU existed, which was an index representing the developme…
Unfulfilled expectations from macro-economic initiatives during the Great Recession and the massive shift into globalization echo today with political upheaval, anti-establishment propaganda, and looming trade/currency wars that threaten domestic and international value chains. Once stable entities like the EU now look fragile and political instability in the US presents unprecedented challenges to an International M…
Different investment strategies are adopted in short-term and long-term depending on the time scales, even though time scales are adhoc in nature. Empirical mode decomposition based Hurst exponent analysis and variance technique have been applied to identify the time scales for short-term and long-term investment from the decomposed intrinsic mode functions(IMF). Hurst exponent ($H$) is around 0.5 for the IMFs with t…
By monitoring the time evolution of the most liquid Futures contracts traded globally as acquired using the Bloomberg API from 03 January 2000 until 15 December 2014 we were able to forecast the S&P 500 index beating the Buy and Hold trading strategy. Our approach is based on convolution computations of 42 of the most liquid Futures contracts of four basic financial asset classes, namely, equities, bonds, commodities…
The Financial Crisis of 2008 is a worldwide financial crisis causing a worldwide economic decline that is the most severe since the 1930s. According to the International Monetary Fund (IMF), the global financial crisis gave impact on USD 3.4 trillion losses from financial institutions around the world between 2007 and 2010. Does the crisis give impact on the returns of the U.S. movie Box Office? It will be answered b…
The recent financial crisis of 2008 and the 2011 indebtedness of Greece highlight the importance of understanding the structure of the global financial network. In this paper we set out to analyze and characterize this network, as captured by the IMF Coordinated Portfolio Investment Survey (CPIS), in two ways. First, through an adaptation of the "error and attack" methodology [1], we show that the network is of the "…
We propose a novel multi-layered nonlinear model that is able to capture and predict the housing-demographic dynamics of the real-state market by simulating the transitions of owners among price-based house layers. This model allows us to determine which parameters are most effective to smoothen the severity of a potential market crisis. The International Monetary Fund (IMF) has issued severe warnings about the curre…
Reserve Adequacy Metric — IMF-style metrics for adequate foreign exchange reserves.
IMF Program Brazil (Emerging Markets).
IMF Program Mexico (Emerging Markets).
IMF Program Chile (Emerging Markets).
IMF Program Colombia (Emerging Markets).
IMF Program Peru (Emerging Markets).
IMF Program South Africa (Emerging Markets).
IMF Program Turkey (Emerging Markets).
IMF Program Poland (Emerging Markets).
IMF Program Hungary (Emerging Markets).
IMF Program Czech (Emerging Markets).
IMF Program India (Emerging Markets).
IMF Program Indonesia (Emerging Markets).
IMF Program Thailand (Emerging Markets).
IMF Program Malaysia (Emerging Markets).
IMF Program Philippines (Emerging Markets).
IMF Program Korea (Emerging Markets).
IMF Program Taiwan (Emerging Markets).
IMF Program China (Emerging Markets).
IMF Program Egypt (Emerging Markets).
IMF Program Nigeria (Emerging Markets).
IMF Program Brazil (Emerging Markets).
IMF Program Chile (Emerging Markets).
IMF Program China (Emerging Markets).
IMF Program Colombia (Emerging Markets).
IMF Program Czech (Emerging Markets).
IMF Program Egypt (Emerging Markets).
IMF Program Hungary (Emerging Markets).
IMF Program India (Emerging Markets).
IMF Program Indonesia (Emerging Markets).
IMF Program Korea (Emerging Markets).
IMF Program Malaysia (Emerging Markets).
IMF Program Mexico (Emerging Markets).
IMF Program Nigeria (Emerging Markets).
IMF Program Peru (Emerging Markets).
IMF Program Philippines (Emerging Markets).
IMF Program Poland (Emerging Markets).
IMF Program South Africa (Emerging Markets).
IMF Program Taiwan (Emerging Markets).
IMF Program Thailand (Emerging Markets).
IMF Program Turkey (Emerging Markets).
Reserve Adequacy Metric — IMF-style metrics for adequate foreign exchange reserves.