This study examines the impact of monetary policy surprises (MPS) on corporate debt composition in Thailand using a Panel Vector Autoregression (PVAR) framework. The analysis covers 204 listed firms from the SET100 and MAI, excluding the financial sector, from 2007 Q1 to 2024 Q4. Monetary policy surprises are measured as deviations of Bank of Thailand policy rate decisions from Bloomberg consensus forecasts. The results support the bank lending channel: an unexpected monetary tightening lead to a significant and persistent increase in bank borrowing, consistent with a precautionary credit line drawdown mechanism. In contrast, bond issuance shows no significant response to monetary policy shocks, suggesting structural insulation of the Thai corporate bond market. Bond market access does not reduce the bank borrowing response, contradicting the substitution hypothesis. Crisis-period analysis reveals that the precautionary drawdown mechanism intensifies during periods of uncertainty, particularly during the COVID-19 era. Overall, monetary policy transmission in Thailand operates primarily through committed bank credit facilities rather than shifts in debt composition.
Abstract Banks play a vital role in a country’s financial system through their intermediation activities, which support economic development. However, the rise in non-performing loans (NPLs) has jeopardized the performance of banks in Sub-Saharan Africa (SSA). Moreover, the behavior of key macroeconomic factors and sho...
Michael Asiamah, Gábor Dávid Kiss· Journal of Central Banking T...· 0 citations
This study examines how monetary policy uncertainty (MPU) affects corporate cash holdings, short-term credit financing, and dividend payout ratios using a quarterly panel of S&P 500 firms from 2008 to 2023. Four MPU measures are employed — market-based, news-based, orthogonalized monetary policy surprises, and FOMC Dis...
This study investigates the dynamic relationship between monetary policy and financial deepening
in Nigeria using annual data (1995–2024) from the Central Bank of Nigeria (CBN) statistical
bulletin. Employing Vector Error Correction Model (VECM), and impulse-response analysis, the
paper identifies a long-run equilib...
David Barikagbo· World Journal of Finance and...· 0 citations
This study examines how the Stock Exchange of Thailand (SET) responds to Bank of Thailand (BoT) Monetary Policy Committee (MPC) announcements over the period 2007–2025, using an event study methodology applied to 684 SET-listed stocks across 141 policy meetings. The study addresses the “Thailand Puzzle” documented in e...