At the core of this study lies a sophisticated empirical approach utilizing multiple data sources tailored to capture media attention from different angles. Social media data were previously analyzed through the TianTian Fund Network Fund Bar, a popular platform among Chinese investors. To complement this, the current research integrates crawled data from the financial section of Finance.JR.com, a respected information media outlet, alongside manually collected Baidu search index values for fund products. This multi-faceted data collection strategy enables a rigorous comparative evaluation of the respective media types’ influence on fund dynamics.

The analysis begins by exploring how attention from the information media on Finance.JR.com impacts fund net capital flows. Regression results reveal a consistent and significant positive correlation between media attention in both the current and preceding periods and the net capital inflows to funds. Importantly, this effect is evident across the full fund sample and especially pronounced within larger funds. The persistence of the lagged media effect suggests that authoritative and stable media sources can sustain investor interest over longer horizons, translating to a durable impact on investment behavior.

Interestingly, when focusing on smaller funds, the positive influence of lagged media attention remains significant but contrasts with findings based on social media data. Prior analyses indicated that social media attention did not yield statistically meaningful capital flow changes for small funds. This divergence is potentially attributable to the nature and authority of the media sources. Small funds naturally receive less attention in both social media and traditional media; however, the higher credibility attributed to information media appears to exert a more enduring influence on investor decisions regarding these smaller entities.

The volatility of social media’s impact represents another intriguing facet illuminated by this research. Social media platforms, characterized by rapid content turnover and ephemeral posts, create a swiftly moving attention landscape. As new posts quickly overshadow older ones, the resultant media effect on capital flows tends to be short-lived. By contrast, more stable information media sources maintain visibility over time, resulting in prolonged effects on investors’ capital allocation choices. This temporal dimension underscores the nuanced mechanisms through which investor sentiment and behavior evolve in response to different media channels.

Attention measured via the Baidu Index offers yet another perspective on media influence, particularly reflecting online search behaviors on Baidu, China’s dominant search engine. The regression findings using Baidu Index data resonate with those obtained from Finance.JR.com: both current and lagged media attention metrics have a significant and positive effect on net fund capital flows in full and large fund samples. This alignment suggests that despite methodological differences, these media attention proxies share common ground in highlighting relevant investor information flows.

Nevertheless, the Baidu Index exhibits limitations when applied to smaller funds. The regression coefficients for small fund samples fail to reach significance, which the authors interpret through multiple lenses. First, many fund investors primarily engage with the TianTian Fund Network for information rather than Baidu, implying that Baidu Index data may not comprehensively capture social media attention pertinent to investors. Second, the index does not consider the sentiment behind search queries, omitting a crucial qualitative dimension that could influence investor reactions. Third, smaller funds often lack individual Baidu Index entries; their search volumes default to their parent company’s, introducing measurement errors and obscuring the true impact for these smaller funds.

Building upon these insights, the study proceeds to examine how fund net capital flows, influenced by these media attention metrics, translate into actual fund performance as measured by ordinary return rates. Here, too, a convergence emerges: lagged net capital inflows derived from Finance.JR.com media data and contemporaneous flows from the Baidu Index sample both demonstrate significant, positive associations with fund returns. This consistency with prior findings based on the Fund Bar sample reinforces the notion that regardless of the media source gauging investor attention, the behavioral responses exhibited by fund investors and managers are largely congruent in influencing fund performance outcomes.

This overarching consistency carries important implications. Firstly, it indicates that while media channels vary in their methods of dissemination and audience reach, their ultimate effect on capital flow and fund returns converges. Investors and managers appear to assimilate signals from multiple media types in ways that align their investment strategies and decisions. Secondly, it hints at a robustness of media-driven market dynamics, wherein alternative informational outlets, whether social, informational, or search-based, collectively shape financial markets through intertwined pathways.

From a methodological standpoint, the study highlights the necessity of controlling for individual fund characteristics and time-fixed effects in regression analyses. This meticulous approach ensures that the observed relationships more accurately reflect the unique influences of media attention rather than confounding variables inherent to specific funds or market periods. Such rigor enhances the credibility and generalizability of the findings.

Moreover, the nuanced differences observed between large and small funds underscore the heterogeneity within the fund universe. Large funds, often enjoying greater visibility and name recognition, benefit more evidently from media attention in driving capital flows and performance enhancements. Small funds face distinct challenges in attracting media focus, and the authority of information media serves as a critical mechanism enabling sustainable investor interest in these less prominent funds.

The temporal dynamics associated with different media types also provide fertile ground for future research. The rapid update cycle and transitory influence of social media contrast with the more enduring effects tied to information media, suggesting that timing and persistence of media signals can meaningfully modulate investment behaviors. This temporal specificity has practical ramifications for fund managers and marketers aiming to optimize media strategies.

Furthermore, recognizing the limitations of the Baidu Index in capturing sentiment and its differential coverage across fund sizes prompts calls for more refined media sentiment analytics. Sentiment analysis, potentially harnessed through natural language processing and machine learning, might unlock deeper understandings of how positive, negative, or neutral media tones drive capital movement and performance variations. Integrating such qualitative dimensions with quantitative attention metrics could represent the next frontier in dissecting media effects.

In sum, this detailed investigation provides compelling empirical evidence affirming the multifaceted roles of media in shaping fund capital flows and performance. It confirms that while social media, traditional information media, and search engine data each possess distinct characteristics influencing investor engagement, their aggregate impacts are remarkably consistent in affecting market outcomes. For industry players, regulators, and academics, these findings offer valuable benchmarks for interpreting the evolving media landscape and its profound implications for financial markets.

As fund markets continue to evolve amidst an increasing proliferation of digital information sources, understanding the layered effects of diverse media remains a pivotal challenge. Studies like this pave the way by combining rigorous statistical examination with rich, multipronged data compilations, ultimately enhancing our grasp of how attention is harnessed and transformed into financial reality. The complex interplay between media credibility, investor cognition, and capital allocation emerges as a critical theme, one with direct relevance to the design of communication strategies and investor relations in an era dominated by rapid information exchange.

In conclusion, the compelling evidence underscores the integral role that media attention, irrespective of its source, plays in directing fund net capital flows and influencing fund returns. The nuanced distinctions across media types and fund sizes point toward a sophisticated investors’ ecosystem where information credibility, timing, and accessibility collectively govern the flow of capital. This understanding propels forward the frontier of behavioral finance and media impact research, promising exciting developments as future studies explore emerging digital media platforms and advanced analytics to decode investor decision-making amid the noise of information abundance.

Article References:
Nie, C., Gao, Y. & Ren, T. The impact of social media on fund net capital flow and performance. Humanit Soc Sci Commun 12, 1442 (2025). https://doi.org/10.1057/s41599-025-05790-z

Image Credits: AI Generated

The analysis underscores that spillovers—where shocks or volatility in one market cascade into others—manifest differently depending on the statistical moments examined. The realized variance (RV) stands out, transmitting the largest total spillover effect at 35.77%, dwarfing realized jump (RJ), realized kurtosis (RK), and realized skewness (RS), which convey respectively 18.16%, 12.93%, and 8.04%. This hierarchy signals that while overall variance dominates contagion risk between markets, sudden price jumps and nuanced distributional shapes of returns also play pivotal roles. Notably, when considered in tandem as a cross-moment system blending these moment measures, the total connectedness persists at a high level of 33.43%, vividly illustrating the intricate interdependencies shaping the markets.

Crude oil emerges as the principal force behind these ripple effects, consistently acting as the dominant net transmitter across all realized moments. Its RV and RJ measures reveal particularly influential roles, accounting for spillovers of 21.78% and 11.33%, respectively. This dominance confirms crude oil’s outsized influence in channeling volatility into both forex and stock markets. Contrarily, the forex market predominantly absorbs the brunt of RV and jump-related shocks, while stock markets appear to be more sensitive to realized kurtosis spillovers, reflecting more subtle distributional risk exposures. Within the cross-moment system, the RV component of crude oil remains the chief transmitter, closely followed by skewness and kurtosis, indicating a layered and differentiated pattern of risk contagion.

The temporal dimension of these spillovers reveals a dynamic, time-varying structure sensitive to global events. Distinct periods of crisis—ranging from the crude oil price crash of mid-2010s, through geopolitical tumult such as the US-China trade war, to health emergencies like the COVID-19 pandemic, and recent conflicts including the Russia-Ukraine and Israel-Hamas wars—trigger marked intensifications in spillover strength. Interestingly, realized variance and jumps are shown to be particularly responsive during widespread health crises, whereas higher-order moments like skewness and kurtosis predominantly respond to geopolitical shocks. This nuanced interplay suggests that different types of market risk propagate distinctively depending on the crisis context.

Examining the chronological progression of net-pairwise connectedness, the study spotlights episodes wherein crude oil transmitted the strongest net RV and RJ spillovers, specifically during the European debt crisis and Arab Spring uprisings in 2010-2011. A parallel surge aligns with the onset of COVID-19 in early 2020, when crude oil’s shockwaves sharply intensified. Furthermore, during the oil price collapse of 2014-2015, crude oil’s realized kurtosis spillovers to forex and stock markets reached unprecedented levels—highlighting how distributional extremes in oil prices invigorate risk transfer. Following the eruption of the Russia-Ukraine war, a notable fresh wave of realized jump spillovers from crude oil to other markets was observed, reinforcing the link between geopolitical instability and cross-market volatility transmission.

This multilayered transmission mechanism has direct policy and investment implications. For policymakers and regulators, the primacy of crude oil in diffusing volatility necessitates refined monitoring and tailored responses during crisis periods. The study advocates for volatility circuit breakers amid health crises—such as those seen during COVID-19—to limit the impact of RV and jump shocks on financial markets. Conversely, geopolitical disturbances demand the development of sophisticated hedging instruments sensitive to realized skewness and kurtosis, enabling multinational financial institutions to better navigate energy-forex risk exposures. Central banks, too, are urged to consider interventions to stabilize currency markets when oil-driven spillovers threaten forex equilibrium.

From an investor’s standpoint, the findings bolster the case for crisis-specific portfolio strategies tuned to the nature of the risk factors involved. During health emergencies characterized by surging RV and jump risks in crude oil prices, defensive postures emphasizing liquidity reserves and the use of energy derivatives for hedging appear prudent. In contrast, geopolitical episodes dominated by higher-order moment shocks may require shifts towards safe-haven assets or diversification across less oil-sensitive asset classes. Such targeted approaches enable more effective management of systemic risk, minimizing contagion while capitalizing on differential asset behavior under varying crisis regimes.

Regulatory implications extend further, recommending that commodity exchanges impose mechanisms such as price bands and margin requirement adjustments responsive to fluctuating crude oil price volatility and evolving forex market conditions. Heightened margin requirements during periods of sharp volatility or major geopolitical disruptions could curb excessive speculative activity and systemic risk. In quieter phases, easing these constraints could enhance market liquidity and efficiency. Additionally, enforcing rigorous stress testing of financial institutions exposed to energy markets and increasing transparency in energy trading are identified as key safeguards against unintended amplification of systemic vulnerabilities.

Elevating the analytical precision, the study’s methodological innovation rests on integrating realized higher-order and cross-moment spillovers within a TVP-VAR framework, capable of capturing the evolving nature of market connectedness with temporal granularity. This approach unveils subtle contagion patterns often masked in simpler models, attributing risk transmission not only to volatility but also to skewness and kurtosis features that matter during turbulent times. The sophisticated joint connectedness analysis across multiple realized moments marks a significant advancement in quantifying and interpreting interconnected financial risks.

Looking ahead, the research highlights fertile avenues for further investigation, notably through frequency domain analysis of spillovers using TVP-VAR frequency connectedness techniques. Such approaches would dissect the temporal scales at which risk transmission operates, unveiling hidden dynamics masked in aggregate time series. Coupled with cutting-edge machine learning methods—particularly explainable artificial intelligence—future studies could isolate the primary drivers and nonlinear patterns underpinning these spillovers, offering enhanced understanding and forecasting abilities critical for market participants and policymakers alike.

Collectively, this research heralds a paradigm shift in grasping how shocks from the crude oil sector penetrate forex and stock realms, emphasizing the necessity of multidimensional risk metrics in decoding these complex interactions. By delineating crisis-specific transmission channels tied to different moments of market returns, the findings equip stakeholders with actionable intelligence to preempt and mitigate systemic risk. As global markets grapple with an increasingly volatile and interconnected environment, such nuanced analysis becomes indispensable for fostering resilient financial systems capable of withstanding multifarious economic and geopolitical disruptions.

Ultimately, the study underscores that no single risk measure suffices to capture the richness of market contagion phenomena. Instead, a mosaic of realized moments—variance, jumps, skewness, and kurtosis—collectively informs our comprehension of crisis-driven spillovers. Recognizing crude oil’s pivotal role as a systemic risk propagator invites renewed focus on energy markets within the broader financial stability discourse. It signals a pressing need for integrated strategies combining regulatory prudence, informed investment practices, and cutting-edge analytics to safeguard global markets in an era marked by unprecedented uncertainty.

As volatility continues to roil world economies and geopolitical upheavals persist, this pioneering inquiry offers a vital blueprint for navigating the intricacies of cross-market risk spillovers. By decoding the complex temporal and distributional dimensions of these contagion mechanisms, it not only advances academic knowledge but also delivers pragmatic guidance tailored to the multifaceted challenges confronting market participants today and into the future.

Article References:
Cui, J., Maghyereh, A. & Ziadat, S. Crude oil, forex, and stock markets: unveiling the higher-order moment and cross-moment risk spillovers in times of turmoil. Humanit Soc Sci Commun 12, 1158 (2025). https://doi.org/10.1057/s41599-025-05308-7

Image Credits: AI Generated