This paper aims to assess the nature of the link between financial and economic crises. To do this, we develop a continuous measure for crisis probability. The methodology employed distinguishes short- from long-term relationships, enhancing the analysis's depth and fortifying the results for autoregressive processes. The study addresses endogeneity and potential simultaneity between different crises using a sample of 49 developed and emerging countries spanning 1984-2016. The empirical investigation incorporates a simultaneous equation, Bayesian Model Averaging (BMA) approach, a Panel Autoregressive Vector (P-VECM), an Autoregressive Distributed Lag (ARDL) technique, as well as Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS) methods. Findings indicate that while all crisis types may stem from unfavorable conditions, there exists a time lag in triggering and duration. Specifically, economic crises tend to be more persistent and are typically preceded by financial crises. Granger-causality test results support a robust bidirectional causality between financial and real difficulties, with the financial sector influencing the real economy more significantly. Moreover, the study reveals that the impact of economic volatility on financial stability is transient and lacks long-term significance. Conversely, the effect of a financial crisis on the real economy is enduring and remains significant in the long run. Additionally, exchange market volatility emerges as a crucial determinant for both financial and economic crises.